gmakstutis/cognee
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions

fix search, add improvements

Browse source
This commit is contained in:
Vasilije 2024-04-30 23:14:11 +02:00
parent 84fcf6c5a6
commit 8e850c19f8
16 changed files with 907 additions and 120 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

14
.github/workflows/test_common.yml vendored
View file

@ -72,13 +72,13 @@ jobs:
- name: Install dependencies - name: Install dependencies
run: poetry install --no-interaction run: poetry install --no-interaction
# - name: Build with Poetry # - name: Build with Poetry
# run: poetry build # run: poetry build
#
# - name: Install Package # - name: Install Package
# run: | # run: |
# cd dist # cd dist
# pip install *.whl # pip install *.whl
# - name: Download NLTK Punkt Tokenizer Models # - name: Download NLTK Punkt Tokenizer Models
# run: | # run: |

16
cognee/api/v1/cognify/cognify.py
View file

@ -126,6 +126,8 @@ async def process_text(chunk_collection: str, chunk_id: str, input_text: str, fi
print(f"Chunk ({chunk_id}) classified.") print(f"Chunk ({chunk_id}) classified.")
print("document_id", document_id)
content_summary = await get_content_summary(input_text) content_summary = await get_content_summary(input_text)
await add_summary_nodes(graph_client, document_id, content_summary) await add_summary_nodes(graph_client, document_id, content_summary)
@ -171,16 +173,16 @@ async def process_text(chunk_collection: str, chunk_id: str, input_text: str, fi
if __name__ == "__main__": if __name__ == "__main__":
async def test(): async def test():
#
from cognee.api.v1.add import add # from cognee.api.v1.add import add
#
await add(["A large language model (LLM) is a language model notable for its ability to achieve general-purpose language generation and other natural language processing tasks such as classification"], "test") # await add(["A large language model (LLM) is a language model notable for its ability to achieve general-purpose language generation and other natural language processing tasks such as classification"], "code")
#
graph = await cognify() # graph = await cognify()
from cognee.utils import render_graph from cognee.utils import render_graph
await render_graph(graph, include_color=True, include_nodes=True, include_size=True) await render_graph(graph, include_color=True, include_nodes=False, include_size=False)
import asyncio import asyncio
asyncio.run(test()) asyncio.run(test())

3
cognee/api/v1/search/search.py
View file

@ -18,6 +18,9 @@ class SearchType(Enum):
CATEGORIES = 'CATEGORIES' CATEGORIES = 'CATEGORIES'
NEIGHBOR = 'NEIGHBOR' NEIGHBOR = 'NEIGHBOR'
SUMMARY = 'SUMMARY' SUMMARY = 'SUMMARY'
SUMMARY_CLASSIFICATION = 'SUMMARY_CLASSIFICATION'
NODE_CLASSIFICATION = 'NODE_CLASSIFICATION'
DOCUMENT_CLASSIFICATION = 'DOCUMENT_CLASSIFICATION'
@staticmethod @staticmethod
def from_str(name: str): def from_str(name: str):

3
cognee/infrastructure/databases/graph/networkx/adapter.py
View file

@ -41,6 +41,9 @@ class NetworkXAdapter(GraphDBInterface):
) -> None: ) -> None:
self.graph.add_nodes_from(nodes) self.graph.add_nodes_from(nodes)
await self.save_graph_to_file(self.filename) await self.save_graph_to_file(self.filename)
async def get_graph(self):
return self.graph
async def add_edge( async def add_edge(
self, self,

2
cognee/infrastructure/llm/prompts/categorize_categories.txt Normal file
View file

@ -0,0 +1,2 @@
Chose the summary that is the most relevant to the query`{{ query }}`
Here are the categories:`{{ categories }}`

2
cognee/infrastructure/llm/prompts/categorize_summary.txt Normal file
View file

@ -0,0 +1,2 @@
Chose the summary that is the most relevant to the query`{{ query }}`
Here are the summaries:`{{ summaries }}`

2
cognee/modules/cognify/graph/add_summary_nodes.py
View file

@ -7,6 +7,7 @@ async def add_summary_nodes(graph_client, document_id, summary):
summary_node_id, summary_node_id,
dict( dict(
name = "Summary", name = "Summary",
document_id = document_id,
summary = summary["summary"], summary = summary["summary"],
), ),
) )
@ -20,6 +21,7 @@ async def add_summary_nodes(graph_client, document_id, summary):
description_node_id, description_node_id,
dict( dict(
name = "Description", name = "Description",
document_id= document_id,
description = summary["description"], description = summary["description"],
), ),
) )

35
cognee/modules/search/graph/search_categories.py
View file

@ -1,11 +1,19 @@
from typing import Union, Dict from typing import Union, Dict, re
from cognee.modules.search.llm.extraction.categorize_relevant_category import categorize_relevant_category
""" Search categories in the graph and return their summary attributes. """ """ Search categories in the graph and return their summary attributes. """
from cognee.shared.data_models import GraphDBType from cognee.shared.data_models import GraphDBType, DefaultContentPrediction
import networkx as nx import networkx as nx
async def search_categories(graph: Union[nx.Graph, any], query_label: str, infrastructure_config: Dict): def strip_exact_regex(s, substring):
# Escaping substring to be used in a regex pattern
pattern = re.escape(substring)
# Regex to match the exact substring at the start and end
return re.sub(f"^{pattern}|{pattern}$", "", s)
async def search_categories(query:str, graph: Union[nx.Graph, any], query_label: str, infrastructure_config: Dict):
""" """
Filter nodes in the graph that contain the specified label and return their summary attributes. Filter nodes in the graph that contain the specified label and return their summary attributes.
This function supports both NetworkX graphs and Neo4j graph databases. This function supports both NetworkX graphs and Neo4j graph databases.
@ -22,8 +30,25 @@ async def search_categories(graph: Union[nx.Graph, any], query_label: str, infra
""" """
# Determine which client is in use based on the configuration # Determine which client is in use based on the configuration
if infrastructure_config.get_config()["graph_engine"] == GraphDBType.NETWORKX: if infrastructure_config.get_config()["graph_engine"] == GraphDBType.NETWORKX:
# Logic for NetworkX
return {node: data.get('content_labels') for node, data in graph.nodes(data=True) if query_label in node and 'content_labels' in data} categories_and_ids = [
{'document_id': strip_exact_regex(_, "DATA_SUMMARY__"), 'Summary': data['summary']}
for _, data in graph.nodes(data=True)
if 'summary' in data
]
print("summaries_and_ids", categories_and_ids)
check_relevant_category = await categorize_relevant_category(query, categories_and_ids, response_model= infrastructure_config.get_config()["classification_model"])
print("check_relevant_summary", check_relevant_category)
connected_nodes = list(graph.neighbors(check_relevant_category['document_id']))
print("connected_nodes", connected_nodes)
descriptions = {node: graph.nodes[node].get('description', 'No desc available') for node in connected_nodes}
print("descs", descriptions)
return descriptions
#
# # Logic for NetworkX
# return {node: data.get('content_labels') for node, data in graph.nodes(data=True) if query_label in node and 'content_labels' in data}
elif infrastructure_config.get_config()["graph_engine"] == GraphDBType.NEO4J: elif infrastructure_config.get_config()["graph_engine"] == GraphDBType.NEO4J:
# Logic for Neo4j # Logic for Neo4j

32
cognee/modules/search/graph/search_summary.py
View file

@ -3,9 +3,19 @@
from typing import Union, Dict from typing import Union, Dict
import networkx as nx import networkx as nx
from cognee.shared.data_models import GraphDBType from cognee.infrastructure import infrastructure_config
async def search_summary(graph: Union[nx.Graph, any], query: str, infrastructure_config: Dict, other_param: str = None) -> Dict[str, str]: from cognee.modules.search.llm.extraction.categorize_relevant_summary import categorize_relevant_summary
from cognee.shared.data_models import GraphDBType, ResponseSummaryModel
import re
def strip_exact_regex(s, substring):
# Escaping substring to be used in a regex pattern
pattern = re.escape(substring)
# Regex to match the exact substring at the start and end
return re.sub(f"^{pattern}|{pattern}$", "", s)
async def search_summary( query: str, graph: Union[nx.Graph, any]) -> Dict[str, str]:
""" """
Filter nodes based on a condition (such as containing 'SUMMARY' in their identifiers) and return their summary attributes. Filter nodes based on a condition (such as containing 'SUMMARY' in their identifiers) and return their summary attributes.
Supports both NetworkX graphs and Neo4j graph databases based on the configuration. Supports both NetworkX graphs and Neo4j graph databases based on the configuration.
@ -19,8 +29,24 @@ async def search_summary(graph: Union[nx.Graph, any], query: str, infrastructure
Returns: Returns:
- Dict[str, str]: A dictionary where keys are node identifiers containing the query string, and values are their 'summary' attributes. - Dict[str, str]: A dictionary where keys are node identifiers containing the query string, and values are their 'summary' attributes.
""" """
if infrastructure_config.get_config()["graph_engine"] == GraphDBType.NETWORKX: if infrastructure_config.get_config()["graph_engine"] == GraphDBType.NETWORKX:
return {node: data.get('summary') for node, data in graph.nodes(data=True) if query in node and 'summary' in data} print("graph", graph)
summaries_and_ids = [
{'document_id': strip_exact_regex(_, "DATA_SUMMARY__"), 'Summary': data['summary']}
for _, data in graph.nodes(data=True)
if 'summary' in data
]
print("summaries_and_ids", summaries_and_ids)
check_relevant_summary = await categorize_relevant_summary(query, summaries_and_ids, response_model=ResponseSummaryModel)
print("check_relevant_summary", check_relevant_summary)
connected_nodes = list(graph.neighbors(check_relevant_summary['document_id']))
print("connected_nodes", connected_nodes)
descriptions = {node: graph.nodes[node].get('description', 'No desc available') for node in connected_nodes}
print("descs", descriptions)
return descriptions
elif infrastructure_config.get_config()["graph_engine"] == GraphDBType.NEO4J: elif infrastructure_config.get_config()["graph_engine"] == GraphDBType.NEO4J:
cypher_query = f""" cypher_query = f"""

17
cognee/modules/search/llm/extraction/categorize_relevant_category.py Normal file
View file

@ -0,0 +1,17 @@
from typing import Type
from pydantic import BaseModel
from cognee.infrastructure.llm.prompts import render_prompt
from cognee.infrastructure.llm.get_llm_client import get_llm_client
async def categorize_relevant_category(query: str, summary, response_model: Type[BaseModel]):
llm_client = get_llm_client()
enriched_query= render_prompt("categorize_category.txt", {"query": query, "categories": summary})
print("enriched_query", enriched_query)
system_prompt = " Choose the relevant categories and return appropriate output based on the model"
llm_output = await llm_client.acreate_structured_output(enriched_query, system_prompt, response_model)
return llm_output.model_dump()

17
cognee/modules/search/llm/extraction/categorize_relevant_summary.py Normal file
View file

@ -0,0 +1,17 @@
from typing import Type
from pydantic import BaseModel
from cognee.infrastructure.llm.prompts import render_prompt
from cognee.infrastructure.llm.get_llm_client import get_llm_client
async def categorize_relevant_summary(query: str, summary, response_model: Type[BaseModel]):
llm_client = get_llm_client()
enriched_query= render_prompt("categorize_summary.txt", {"query": query, "summaries": summary})
print("enriched_query", enriched_query)
system_prompt = " Choose the relevant summary and return appropriate output based on the model"
llm_output = await llm_client.acreate_structured_output(enriched_query, system_prompt, response_model)
return llm_output.model_dump()

17
cognee/modules/search/llm/get_relevant_summary.py Normal file
View file

@ -0,0 +1,17 @@
import logging
from typing import List, Dict
from cognee.infrastructure import infrastructure_config
from.extraction.categorize_relevant_summary import categorize_relevant_summary
logger = logging.getLogger(__name__)
async def get_cognitive_layers(content: str, categories: List[Dict]):
try:
return (await categorize_relevant_summary(
content,
categories[0],
infrastructure_config.get_config()["categorize_summary_model"]
)).cognitive_layers
except Exception as error:
logger.error("Error extracting cognitive layers from content: %s", error, exc_info = True)
raise error

7
cognee/shared/data_models.py
View file

@ -244,3 +244,10 @@ class DefaultGraphModel(BaseModel):
documents: List[Document] = [] documents: List[Document] = []
default_fields: Optional[Dict[str, Any]] = {} default_fields: Optional[Dict[str, Any]] = {}
default_relationship: Relationship = Relationship(type = "has_properties") default_relationship: Relationship = Relationship(type = "has_properties")
class ResponseSummaryModel(BaseModel):
""" Response summary model and existing document id """
document_id: str
response_summary: str

321
notebooks/full_run.ipynb
View file

File diff suppressed because one or more lines are too long

536
poetry.lock generated
View file

@ -215,6 +215,17 @@ doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphin
test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"] test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
trio = ["trio (>=0.23)"] trio = ["trio (>=0.23)"]
[[package]]
name = "appdirs"
version = "1.4.4"
description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
optional = false
python-versions = "*"
files = [
{file = "appdirs-1.4.4-py2.py3-none-any.whl", hash = "sha256:a841dacd6b99318a741b166adb07e19ee71a274450e68237b4650ca1055ab128"},
{file = "appdirs-1.4.4.tar.gz", hash = "sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41"},
]
[[package]] [[package]]
name = "appnope" name = "appnope"
version = "0.1.4" version = "0.1.4"
@ -508,33 +519,33 @@ lxml = ["lxml"]
[[package]] [[package]]
name = "black" name = "black"
version = "24.4.1" version = "24.4.2"
description = "The uncompromising code formatter." description = "The uncompromising code formatter."
optional = false optional = false
python-versions = ">=3.8" python-versions = ">=3.8"
files = [ files = [
{file = "black-24.4.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1f7749fd0d97ff9415975a1432fac7df89bf13c3833cea079e55fa004d5f28c0"}, {file = "black-24.4.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:dd1b5a14e417189db4c7b64a6540f31730713d173f0b63e55fabd52d61d8fdce"},
{file = "black-24.4.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:859f3cc5d2051adadf8fd504a01e02b0fd866d7549fff54bc9202d524d2e8bd7"}, {file = "black-24.4.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8e537d281831ad0e71007dcdcbe50a71470b978c453fa41ce77186bbe0ed6021"},
{file = "black-24.4.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:59271c9c29dfa97f7fda51f56c7809b3f78e72fd8d2205189bbd23022a0618b6"}, {file = "black-24.4.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eaea3008c281f1038edb473c1aa8ed8143a5535ff18f978a318f10302b254063"},
{file = "black-24.4.1-cp310-cp310-win_amd64.whl", hash = "sha256:5ed9c34cba223149b5a0144951a0f33d65507cf82c5449cb3c35fe4b515fea9a"}, {file = "black-24.4.2-cp310-cp310-win_amd64.whl", hash = "sha256:7768a0dbf16a39aa5e9a3ded568bb545c8c2727396d063bbaf847df05b08cd96"},
{file = "black-24.4.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:9dae3ae59d6f2dc93700fd5034a3115434686e66fd6e63d4dcaa48d19880f2b0"}, {file = "black-24.4.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:257d724c2c9b1660f353b36c802ccece186a30accc7742c176d29c146df6e474"},
{file = "black-24.4.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5f8698974a81af83283eb47644f2711b5261138d6d9180c863fce673cbe04b13"}, {file = "black-24.4.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:bdde6f877a18f24844e381d45e9947a49e97933573ac9d4345399be37621e26c"},
{file = "black-24.4.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0f404b6e77043b23d0321fb7772522b876b6de737ad3cb97d6b156638d68ce81"}, {file = "black-24.4.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e151054aa00bad1f4e1f04919542885f89f5f7d086b8a59e5000e6c616896ffb"},
{file = "black-24.4.1-cp311-cp311-win_amd64.whl", hash = "sha256:c94e52b766477bdcd010b872ba0714d5458536dc9d0734eff6583ba7266ffd89"}, {file = "black-24.4.2-cp311-cp311-win_amd64.whl", hash = "sha256:7e122b1c4fb252fd85df3ca93578732b4749d9be076593076ef4d07a0233c3e1"},
{file = "black-24.4.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:962d9e953872cdb83b97bb737ad47244ce2938054dc946685a4cad98520dab38"}, {file = "black-24.4.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:accf49e151c8ed2c0cdc528691838afd217c50412534e876a19270fea1e28e2d"},
{file = "black-24.4.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:b1d8e3b2486b7dd522b1ab2ba1ec4907f0aa8f5e10a33c4271fb331d1d10b70c"}, {file = "black-24.4.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:88c57dc656038f1ab9f92b3eb5335ee9b021412feaa46330d5eba4e51fe49b04"},
{file = "black-24.4.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ed77e214b785148f57e43ca425b6e0850165144aa727d66ac604e56a70bb7825"}, {file = "black-24.4.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:be8bef99eb46d5021bf053114442914baeb3649a89dc5f3a555c88737e5e98fc"},
{file = "black-24.4.1-cp312-cp312-win_amd64.whl", hash = "sha256:4ef4764437d7eba8386689cd06e1fb5341ee0ae2e9e22582b21178782de7ed94"}, {file = "black-24.4.2-cp312-cp312-win_amd64.whl", hash = "sha256:415e686e87dbbe6f4cd5ef0fbf764af7b89f9057b97c908742b6008cc554b9c0"},
{file = "black-24.4.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:92b183f8eef5baf7b20a513abcf982ad616f544f593f6688bb2850d2982911f1"}, {file = "black-24.4.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:bf10f7310db693bb62692609b397e8d67257c55f949abde4c67f9cc574492cc7"},
{file = "black-24.4.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:945abd7b3572add997757c94295bb3e73c6ffaf3366b1f26cb2356a4bffd1dc3"}, {file = "black-24.4.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:98e123f1d5cfd42f886624d84464f7756f60ff6eab89ae845210631714f6db94"},
{file = "black-24.4.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:db5154b9e5b478031371d8bc41ff37b33855fa223a6cfba456c9b73fb96f77d4"}, {file = "black-24.4.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:48a85f2cb5e6799a9ef05347b476cce6c182d6c71ee36925a6c194d074336ef8"},
{file = "black-24.4.1-cp38-cp38-win_amd64.whl", hash = "sha256:afc84c33c1a9aaf3d73140cee776b4ddf73ff429ffe6b7c56dc1c9c10725856d"}, {file = "black-24.4.2-cp38-cp38-win_amd64.whl", hash = "sha256:b1530ae42e9d6d5b670a34db49a94115a64596bc77710b1d05e9801e62ca0a7c"},
{file = "black-24.4.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:0889f4eb8b3bdf8b189e41a71cf0dbb8141a98346cd1a2695dea5995d416e940"}, {file = "black-24.4.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:37aae07b029fa0174d39daf02748b379399b909652a806e5708199bd93899da1"},
{file = "black-24.4.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:5bb0143f175db45a55227eefd63e90849d96c266330ba31719e9667d0d5ec3b9"}, {file = "black-24.4.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:da33a1a5e49c4122ccdfd56cd021ff1ebc4a1ec4e2d01594fef9b6f267a9e741"},
{file = "black-24.4.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:713a04a78e78f28ef7e8df7a16fe075670ea164860fcef3885e4f3dffc0184b3"}, {file = "black-24.4.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ef703f83fc32e131e9bcc0a5094cfe85599e7109f896fe8bc96cc402f3eb4b6e"},
{file = "black-24.4.1-cp39-cp39-win_amd64.whl", hash = "sha256:171959bc879637a8cdbc53dc3fddae2a83e151937a28cf605fd175ce61e0e94a"}, {file = "black-24.4.2-cp39-cp39-win_amd64.whl", hash = "sha256:b9176b9832e84308818a99a561e90aa479e73c523b3f77afd07913380ae2eab7"},
{file = "black-24.4.1-py3-none-any.whl", hash = "sha256:ecbab810604fe02c70b3a08afd39beb599f7cc9afd13e81f5336014133b4fe35"}, {file = "black-24.4.2-py3-none-any.whl", hash = "sha256:d36ed1124bb81b32f8614555b34cc4259c3fbc7eec17870e8ff8ded335b58d8c"},
{file = "black-24.4.1.tar.gz", hash = "sha256:5241612dc8cad5b6fd47432b8bd04db80e07cfbc53bb69e9ae18985063bcb8dd"}, {file = "black-24.4.2.tar.gz", hash = "sha256:c872b53057f000085da66a19c55d68f6f8ddcac2642392ad3a355878406fbd4d"},
] ]
[package.dependencies] [package.dependencies]
@ -572,17 +583,17 @@ css = ["tinycss2 (>=1.1.0,<1.3)"]
[[package]] [[package]]
name = "boto3" name = "boto3"
version = "1.34.91" version = "1.34.93"
description = "The AWS SDK for Python" description = "The AWS SDK for Python"
optional = false optional = false
python-versions = ">=3.8" python-versions = ">=3.8"
files = [ files = [
{file = "boto3-1.34.91-py3-none-any.whl", hash = "sha256:97fac686c47647db4b44e4789317e4aeecd38511d71e84f8d20abe33eb630ff1"}, {file = "boto3-1.34.93-py3-none-any.whl", hash = "sha256:b59355bf4a1408563969526f314611dbeacc151cf90ecb22af295dcc4fe18def"},
{file = "boto3-1.34.91.tar.gz", hash = "sha256:5077917041adaaae15eeca340289547ef905ca7e11516e9bd22d394fb5057d2a"}, {file = "boto3-1.34.93.tar.gz", hash = "sha256:e39516e4ca21612932599819662759c04485d53ca457996a913163da11f052a4"},
] ]
[package.dependencies] [package.dependencies]
botocore = ">=1.34.91,<1.35.0" botocore = ">=1.34.93,<1.35.0"
jmespath = ">=0.7.1,<2.0.0" jmespath = ">=0.7.1,<2.0.0"
s3transfer = ">=0.10.0,<0.11.0" s3transfer = ">=0.10.0,<0.11.0"
@ -591,13 +602,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
[[package]] [[package]]
name = "botocore" name = "botocore"
version = "1.34.91" version = "1.34.93"
description = "Low-level, data-driven core of boto 3." description = "Low-level, data-driven core of boto 3."
optional = false optional = false
python-versions = ">=3.8" python-versions = ">=3.8"
files = [ files = [
{file = "botocore-1.34.91-py3-none-any.whl", hash = "sha256:4d1b13f2b1c28ce1743b1e5895ae62bb7e67f892b51882164ea19c27a130852b"}, {file = "botocore-1.34.93-py3-none-any.whl", hash = "sha256:6fbd5a53a2adc9b3d4ebd90ae0ede83a91a41d96231f8a5984051f75495f246d"},
{file = "botocore-1.34.91.tar.gz", hash = "sha256:93ef7071292a1b2b9fc26537f8ae3a8227da1177969241939ea3fbdb1a1a1d0c"}, {file = "botocore-1.34.93.tar.gz", hash = "sha256:79d39b0b87e962991c6dd55e78ce15155099f6fb741be88b1b8a456a702cc150"},
] ]
[package.dependencies] [package.dependencies]
@ -624,13 +635,13 @@ files = [
[[package]] [[package]]
name = "cairocffi" name = "cairocffi"
version = "1.6.1" version = "1.7.0"
description = "cffi-based cairo bindings for Python" description = "cffi-based cairo bindings for Python"
optional = false optional = false
python-versions = ">=3.7" python-versions = ">=3.8"
files = [ files = [
{file = "cairocffi-1.6.1-py3-none-any.whl", hash = "sha256:aa78ee52b9069d7475eeac457389b6275aa92111895d78fbaa2202a52dac112e"}, {file = "cairocffi-1.7.0-py3-none-any.whl", hash = "sha256:1f29a8d41dbda4090c0aa33bcdea64f3b493e95f74a43ea107c4a8a7b7f632ef"},
{file = "cairocffi-1.6.1.tar.gz", hash = "sha256:78e6bbe47357640c453d0be929fa49cd05cce2e1286f3d2a1ca9cbda7efdb8b7"}, {file = "cairocffi-1.7.0.tar.gz", hash = "sha256:7761863603894305f3160eca68452f373433ca8745ab7dd445bd2c6ce50dcab7"},
] ]
[package.dependencies] [package.dependencies]
@ -638,7 +649,7 @@ cffi = ">=1.1.0"
[package.extras] [package.extras]
doc = ["sphinx", "sphinx_rtd_theme"] doc = ["sphinx", "sphinx_rtd_theme"]
test = ["flake8", "isort", "numpy", "pikepdf", "pytest"] test = ["numpy", "pikepdf", "pytest", "ruff"]
xcb = ["xcffib (>=1.4.0)"] xcb = ["xcffib (>=1.4.0)"]
[[package]] [[package]]
@ -1138,6 +1149,21 @@ files = [
docs = ["ipython", "matplotlib", "numpydoc", "sphinx"] docs = ["ipython", "matplotlib", "numpydoc", "sphinx"]
tests = ["pytest", "pytest-cov", "pytest-xdist"] tests = ["pytest", "pytest-cov", "pytest-xdist"]
[[package]]
name = "dataclasses-json"
version = "0.6.4"
description = "Easily serialize dataclasses to and from JSON."
optional = false
python-versions = ">=3.7,<4.0"
files = [
{file = "dataclasses_json-0.6.4-py3-none-any.whl", hash = "sha256:f90578b8a3177f7552f4e1a6e535e84293cd5da421fcce0642d49c0d7bdf8df2"},
{file = "dataclasses_json-0.6.4.tar.gz", hash = "sha256:73696ebf24936560cca79a2430cbc4f3dd23ac7bf46ed17f38e5e5e7657a6377"},
]
[package.dependencies]
marshmallow = ">=3.18.0,<4.0.0"
typing-inspect = ">=0.4.0,<1"
[[package]] [[package]]
name = "datasets" name = "datasets"
version = "2.14.7" version = "2.14.7"
@ -1223,6 +1249,41 @@ files = [
{file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"}, {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
] ]
[[package]]
name = "deepeval"
version = "0.21.36"
description = "The open-source evaluation framework for LLMs."
optional = false
python-versions = "*"
files = [
{file = "deepeval-0.21.36-py3-none-any.whl", hash = "sha256:e1c9fa0a37c74e79eb1c21a98437d04d4be964e9db0cc7ce46d2ff7c190772e6"},
{file = "deepeval-0.21.36.tar.gz", hash = "sha256:5447512c6e60ec9840c1c11b48f697470b26c718e729e7d48b97887a5db095a3"},
]
[package.dependencies]
docx2txt = ">=0.8,<1.0"
importlib-metadata = ">=6.0.2"
langchain = "*"
langchain-core = "*"
langchain-openai = "*"
portalocker = "*"
protobuf = "4.25.1"
pydantic = "*"
pytest = "*"
pytest-repeat = "*"
pytest-xdist = "*"
ragas = "*"
requests = "*"
rich = "*"
sentry-sdk = "*"
tabulate = "*"
tenacity = ">=8.2.3,<8.3.0"
tqdm = "*"
typer = "*"
[package.extras]
dev = ["black"]
[[package]] [[package]]
name = "defusedxml" name = "defusedxml"
version = "0.7.1" version = "0.7.1"
@ -1356,6 +1417,16 @@ files = [
{file = "docstring_parser-0.16.tar.gz", hash = "sha256:538beabd0af1e2db0146b6bd3caa526c35a34d61af9fd2887f3a8a27a739aa6e"}, {file = "docstring_parser-0.16.tar.gz", hash = "sha256:538beabd0af1e2db0146b6bd3caa526c35a34d61af9fd2887f3a8a27a739aa6e"},
] ]
[[package]]
name = "docx2txt"
version = "0.8"
description = "A pure python-based utility to extract text and images from docx files."
optional = false
python-versions = "*"
files = [
{file = "docx2txt-0.8.tar.gz", hash = "sha256:2c06d98d7cfe2d3947e5760a57d924e3ff07745b379c8737723922e7009236e5"},
]
[[package]] [[package]]
name = "dspy-ai" name = "dspy-ai"
version = "2.4.3" version = "2.4.3"
@ -1478,6 +1549,20 @@ files = [
[package.extras] [package.extras]
test = ["pytest (>=6)"] test = ["pytest (>=6)"]
[[package]]
name = "execnet"
version = "2.1.1"
description = "execnet: rapid multi-Python deployment"
optional = false
python-versions = ">=3.8"
files = [
{file = "execnet-2.1.1-py3-none-any.whl", hash = "sha256:26dee51f1b80cebd6d0ca8e74dd8745419761d3bef34163928cbebbdc4749fdc"},
{file = "execnet-2.1.1.tar.gz", hash = "sha256:5189b52c6121c24feae288166ab41b32549c7e2348652736540b9e6e7d4e72e3"},
]
[package.extras]
testing = ["hatch", "pre-commit", "pytest", "tox"]
[[package]] [[package]]
name = "executing" name = "executing"
version = "2.0.1" version = "2.0.1"
@ -2346,22 +2431,22 @@ files = [
[[package]] [[package]]
name = "importlib-metadata" name = "importlib-metadata"
version = "7.1.0" version = "6.1.0"
description = "Read metadata from Python packages" description = "Read metadata from Python packages"
optional = false optional = false
python-versions = ">=3.8" python-versions = ">=3.7"
files = [ files = [
{file = "importlib_metadata-7.1.0-py3-none-any.whl", hash = "sha256:30962b96c0c223483ed6cc7280e7f0199feb01a0e40cfae4d4450fc6fab1f570"}, {file = "importlib_metadata-6.1.0-py3-none-any.whl", hash = "sha256:ff80f3b5394912eb1b108fcfd444dc78b7f1f3e16b16188054bd01cb9cb86f09"},
{file = "importlib_metadata-7.1.0.tar.gz", hash = "sha256:b78938b926ee8d5f020fc4772d487045805a55ddbad2ecf21c6d60938dc7fcd2"}, {file = "importlib_metadata-6.1.0.tar.gz", hash = "sha256:43ce9281e097583d758c2c708c4376371261a02c34682491a8e98352365aad20"},
] ]
[package.dependencies] [package.dependencies]
zipp = ">=0.5" zipp = ">=0.5"
[package.extras] [package.extras]
docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
perf = ["ipython"] perf = ["ipython"]
testing = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"] testing = ["flake8 (<5)", "flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)"]
[[package]] [[package]]
name = "importlib-resources" name = "importlib-resources"
@ -2596,6 +2681,20 @@ files = [
{file = "json5-0.9.25.tar.gz", hash = "sha256:548e41b9be043f9426776f05df8635a00fe06104ea51ed24b67f908856e151ae"}, {file = "json5-0.9.25.tar.gz", hash = "sha256:548e41b9be043f9426776f05df8635a00fe06104ea51ed24b67f908856e151ae"},
] ]
[[package]]
name = "jsonpatch"
version = "1.33"
description = "Apply JSON-Patches (RFC 6902)"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
files = [
{file = "jsonpatch-1.33-py2.py3-none-any.whl", hash = "sha256:0ae28c0cd062bbd8b8ecc26d7d164fbbea9652a1a3693f3b956c1eae5145dade"},
{file = "jsonpatch-1.33.tar.gz", hash = "sha256:9fcd4009c41e6d12348b4a0ff2563ba56a2923a7dfee731d004e212e1ee5030c"},
]
[package.dependencies]
jsonpointer = ">=1.9"
[[package]] [[package]]
name = "jsonpath-ng" name = "jsonpath-ng"
version = "1.6.1" version = "1.6.1"
@ -2804,13 +2903,13 @@ test = ["jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-jupyter[server] (>
[[package]] [[package]]
name = "jupyterlab" name = "jupyterlab"
version = "4.1.6" version = "4.1.8"
description = "JupyterLab computational environment" description = "JupyterLab computational environment"
optional = false optional = false
python-versions = ">=3.8" python-versions = ">=3.8"
files = [ files = [
{file = "jupyterlab-4.1.6-py3-none-any.whl", hash = "sha256:cf3e862bc10dbf4331e4eb37438634f813c238cfc62c71c640b3b3b2caa089a8"}, {file = "jupyterlab-4.1.8-py3-none-any.whl", hash = "sha256:c3baf3a2f91f89d110ed5786cd18672b9a357129d4e389d2a0dead15e11a4d2c"},
{file = "jupyterlab-4.1.6.tar.gz", hash = "sha256:7935f36ba26eb615183a4f5c2bbca5791b5108ce2a00b5505f8cfd100d53648e"}, {file = "jupyterlab-4.1.8.tar.gz", hash = "sha256:3384aded8680e7ce504fd63b8bb89a39df21c9c7694d9e7dc4a68742cdb30f9b"},
] ]
[package.dependencies] [package.dependencies]
@ -2822,7 +2921,7 @@ jinja2 = ">=3.0.3"
jupyter-core = "*" jupyter-core = "*"
jupyter-lsp = ">=2.0.0" jupyter-lsp = ">=2.0.0"
jupyter-server = ">=2.4.0,<3" jupyter-server = ">=2.4.0,<3"
jupyterlab-server = ">=2.19.0,<3" jupyterlab-server = ">=2.27.1,<3"
notebook-shim = ">=0.2" notebook-shim = ">=0.2"
packaging = "*" packaging = "*"
tomli = {version = ">=1.2.2", markers = "python_version < \"3.11\""} tomli = {version = ">=1.2.2", markers = "python_version < \"3.11\""}
@ -3017,17 +3116,17 @@ files = [
[[package]] [[package]]
name = "lancedb" name = "lancedb"
version = "0.6.10" version = "0.6.11"
description = "lancedb" description = "lancedb"
optional = false optional = false
python-versions = ">=3.8" python-versions = ">=3.8"
files = [ files = [
{file = "lancedb-0.6.10-cp38-abi3-macosx_10_15_x86_64.whl", hash = "sha256:c7e10eb5f5fdb22452d7678e9bf3df14e2463331868607067aba4ba19a0f4022"}, {file = "lancedb-0.6.11-cp38-abi3-macosx_10_15_x86_64.whl", hash = "sha256:79dbc2a79dac7b843e328a3b7eecb1b42f38ad524742111a38efbeaa1f58ddfe"},
{file = "lancedb-0.6.10-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:3a1548bf3820ff606e4efce840bd0e979206eb1815915fff9f738c1d8e337293"}, {file = "lancedb-0.6.11-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:bfc6661e1fe5dd75346b4a1980243b4ccecd2b0ad991f8becc6e506a608c2d8a"},
{file = "lancedb-0.6.10-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3874f8aee55c5b4f41b953f4eac28d69c8a9bc10ad992fc7fd2b699a1f4b88ed"}, {file = "lancedb-0.6.11-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0998c2dae676c24b95d492358f80ef6e5100b86335b96bf402af3f28f7ec4f3b"},
{file = "lancedb-0.6.10-cp38-abi3-manylinux_2_24_aarch64.whl", hash = "sha256:73c0909ac7ae95d8128d25936fc0ff670cf6d9ae1b44e06ec48f3a60081d61ca"}, {file = "lancedb-0.6.11-cp38-abi3-manylinux_2_24_aarch64.whl", hash = "sha256:b6b289599c4c6a61a70da89d4c3201abec7483d0e03573506014af2dcddfe0c4"},
{file = "lancedb-0.6.10-cp38-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:750fb23a6eaa7daea241a124be3970447d45ace1c4f894df197e9869d677b6ba"}, {file = "lancedb-0.6.11-cp38-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:d789d5a181c4bc42650567cb63ce2772ed902046b08e8e401970df284a4df1c1"},
{file = "lancedb-0.6.10-cp38-abi3-win_amd64.whl", hash = "sha256:06a299d91e1d9d2663fea7086efc784bf8643f51ff1532617c4910ec63cd2004"}, {file = "lancedb-0.6.11-cp38-abi3-win_amd64.whl", hash = "sha256:ea12fc94545afb03933d080cce593491e593ab95cbfddf05ab7183bce2bc8d62"},
] ]
[package.dependencies] [package.dependencies]
@ -3051,6 +3150,143 @@ docs = ["mkdocs", "mkdocs-jupyter", "mkdocs-material", "mkdocstrings[python]"]
embeddings = ["awscli (>=1.29.57)", "boto3 (>=1.28.57)", "botocore (>=1.31.57)", "cohere", "google-generativeai", "huggingface-hub", "instructorembedding", "open-clip-torch", "openai (>=1.6.1)", "pillow", "sentence-transformers", "torch"] embeddings = ["awscli (>=1.29.57)", "boto3 (>=1.28.57)", "botocore (>=1.31.57)", "cohere", "google-generativeai", "huggingface-hub", "instructorembedding", "open-clip-torch", "openai (>=1.6.1)", "pillow", "sentence-transformers", "torch"]
tests = ["aiohttp", "boto3", "duckdb", "pandas (>=1.4)", "polars (>=0.19)", "pytest", "pytest-asyncio", "pytest-mock", "pytz", "tantivy"] tests = ["aiohttp", "boto3", "duckdb", "pandas (>=1.4)", "polars (>=0.19)", "pytest", "pytest-asyncio", "pytest-mock", "pytz", "tantivy"]
[[package]]
name = "langchain"
version = "0.1.10"
description = "Building applications with LLMs through composability"
optional = false
python-versions = ">=3.8.1,<4.0"
files = [
{file = "langchain-0.1.10-py3-none-any.whl", hash = "sha256:dcc1c0968b8d946a812155584ecbbeda690c930c3ee27bb5ecc113d954f6cf1a"},
{file = "langchain-0.1.10.tar.gz", hash = "sha256:17951bcd6d74adc74aa081f260ef5514c449488815314420b7e0f8349f15d932"},
]
[package.dependencies]
aiohttp = ">=3.8.3,<4.0.0"
async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
dataclasses-json = ">=0.5.7,<0.7"
jsonpatch = ">=1.33,<2.0"
langchain-community = ">=0.0.25,<0.1"
langchain-core = ">=0.1.28,<0.2"
langchain-text-splitters = ">=0.0.1,<0.1"
langsmith = ">=0.1.0,<0.2.0"
numpy = ">=1,<2"
pydantic = ">=1,<3"
PyYAML = ">=5.3"
requests = ">=2,<3"
SQLAlchemy = ">=1.4,<3"
tenacity = ">=8.1.0,<9.0.0"
[package.extras]
azure = ["azure-ai-formrecognizer (>=3.2.1,<4.0.0)", "azure-ai-textanalytics (>=5.3.0,<6.0.0)", "azure-cognitiveservices-speech (>=1.28.0,<2.0.0)", "azure-core (>=1.26.4,<2.0.0)", "azure-cosmos (>=4.4.0b1,<5.0.0)", "azure-identity (>=1.12.0,<2.0.0)", "azure-search-documents (==11.4.0b8)", "openai (<2)"]
clarifai = ["clarifai (>=9.1.0)"]
cli = ["typer (>=0.9.0,<0.10.0)"]
cohere = ["cohere (>=4,<5)"]
docarray = ["docarray[hnswlib] (>=0.32.0,<0.33.0)"]
embeddings = ["sentence-transformers (>=2,<3)"]
extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.0,<3.0.0)", "anthropic (>=0.3.11,<0.4.0)", "arxiv (>=1.4,<2.0)", "assemblyai (>=0.17.0,<0.18.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.1.0,<0.2.0)", "chardet (>=5.1.0,<6.0.0)", "cohere (>=4,<5)", "couchbase (>=4.1.9,<5.0.0)", "dashvector (>=1.0.1,<2.0.0)", "databricks-vectorsearch (>=0.21,<0.22)", "datasets (>=2.15.0,<3.0.0)", "dgml-utils (>=0.3.0,<0.4.0)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "feedparser (>=6.0.10,<7.0.0)", "fireworks-ai (>=0.9.0,<0.10.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "google-cloud-documentai (>=2.20.1,<3.0.0)", "gql (>=3.4.1,<4.0.0)", "hologres-vector (>=0.0.6,<0.0.7)", "html2text (>=2020.1.16,<2021.0.0)", "javelin-sdk (>=0.1.8,<0.2.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "jsonschema (>1)", "langchain-openai (>=0.0.2,<0.1)", "lxml (>=4.9.2,<5.0.0)", "markdownify (>=0.11.6,<0.12.0)", "motor (>=3.3.1,<4.0.0)", "msal (>=1.25.0,<2.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "newspaper3k (>=0.2.8,<0.3.0)", "numexpr (>=2.8.6,<3.0.0)", "openai (<2)", "openapi-pydantic (>=0.3.2,<0.4.0)", "pandas (>=2.0.1,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pgvector (>=0.1.6,<0.2.0)", "praw (>=7.7.1,<8.0.0)", "psychicapi (>=0.8.0,<0.9.0)", "py-trello (>=0.19.0,<0.20.0)", "pymupdf (>=1.22.3,<2.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pypdfium2 (>=4.10.0,<5.0.0)", "pyspark (>=3.4.0,<4.0.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "rapidfuzz (>=3.1.1,<4.0.0)", "rapidocr-onnxruntime (>=1.3.2,<2.0.0)", "rdflib (==7.0.0)", "requests-toolbelt (>=1.0.0,<2.0.0)", "rspace_client (>=2.5.0,<3.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "sqlite-vss (>=0.1.2,<0.2.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "timescale-vector (>=0.0.1,<0.0.2)", "tqdm (>=4.48.0)", "upstash-redis (>=0.15.0,<0.16.0)", "xata (>=1.0.0a7,<2.0.0)", "xmltodict (>=0.13.0,<0.14.0)"]
javascript = ["esprima (>=4.0.1,<5.0.0)"]
llms = ["clarifai (>=9.1.0)", "cohere (>=4,<5)", "huggingface_hub (>=0,<1)", "manifest-ml (>=0.0.1,<0.0.2)", "nlpcloud (>=1,<2)", "openai (<2)", "openlm (>=0.0.5,<0.0.6)", "torch (>=1,<3)", "transformers (>=4,<5)"]
openai = ["openai (<2)", "tiktoken (>=0.3.2,<0.6.0)"]
qdrant = ["qdrant-client (>=1.3.1,<2.0.0)"]
text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
[[package]]
name = "langchain-community"
version = "0.0.34"
description = "Community contributed LangChain integrations."
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langchain_community-0.0.34-py3-none-any.whl", hash = "sha256:bc13b21a44bbfca01bff8b35c10a26d71485b57c1d284f499b577ba6e1a5d84a"},
{file = "langchain_community-0.0.34.tar.gz", hash = "sha256:96e9a807d9b4777820df5a970996f6bf3ad5632137bf0f4d863bd832bdeb2b0f"},
]
[package.dependencies]
aiohttp = ">=3.8.3,<4.0.0"
dataclasses-json = ">=0.5.7,<0.7"
langchain-core = ">=0.1.45,<0.2.0"
langsmith = ">=0.1.0,<0.2.0"
numpy = ">=1,<2"
PyYAML = ">=5.3"
requests = ">=2,<3"
SQLAlchemy = ">=1.4,<3"
tenacity = ">=8.1.0,<9.0.0"
[package.extras]
cli = ["typer (>=0.9.0,<0.10.0)"]
extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.0,<3.0.0)", "anthropic (>=0.3.11,<0.4.0)", "arxiv (>=1.4,<2.0)", "assemblyai (>=0.17.0,<0.18.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "azure-ai-documentintelligence (>=1.0.0b1,<2.0.0)", "beautifulsoup4 (>=4,<5)", "bibtexparser (>=1.4.0,<2.0.0)", "cassio (>=0.1.0,<0.2.0)", "chardet (>=5.1.0,<6.0.0)", "cloudpickle (>=2.0.0)", "cohere (>=4,<5)", "databricks-vectorsearch (>=0.21,<0.22)", "datasets (>=2.15.0,<3.0.0)", "dgml-utils (>=0.3.0,<0.4.0)", "elasticsearch (>=8.12.0,<9.0.0)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "feedparser (>=6.0.10,<7.0.0)", "fireworks-ai (>=0.9.0,<0.10.0)", "friendli-client (>=1.2.4,<2.0.0)", "geopandas (>=0.13.1,<0.14.0)", "gitpython (>=3.1.32,<4.0.0)", "google-cloud-documentai (>=2.20.1,<3.0.0)", "gql (>=3.4.1,<4.0.0)", "gradientai (>=1.4.0,<2.0.0)", "hdbcli (>=2.19.21,<3.0.0)", "hologres-vector (>=0.0.6,<0.0.7)", "html2text (>=2020.1.16,<2021.0.0)", "httpx (>=0.24.1,<0.25.0)", "httpx-sse (>=0.4.0,<0.5.0)", "javelin-sdk (>=0.1.8,<0.2.0)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "jsonschema (>1)", "lxml (>=4.9.3,<6.0)", "markdownify (>=0.11.6,<0.12.0)", "motor (>=3.3.1,<4.0.0)", "msal (>=1.25.0,<2.0.0)", "mwparserfromhell (>=0.6.4,<0.7.0)", "mwxml (>=0.3.3,<0.4.0)", "newspaper3k (>=0.2.8,<0.3.0)", "numexpr (>=2.8.6,<3.0.0)", "nvidia-riva-client (>=2.14.0,<3.0.0)", "oci (>=2.119.1,<3.0.0)", "openai (<2)", "openapi-pydantic (>=0.3.2,<0.4.0)", "oracle-ads (>=2.9.1,<3.0.0)", "pandas (>=2.0.1,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pgvector (>=0.1.6,<0.2.0)", "praw (>=7.7.1,<8.0.0)", "premai (>=0.3.25,<0.4.0)", "psychicapi (>=0.8.0,<0.9.0)", "py-trello (>=0.19.0,<0.20.0)", "pyjwt (>=2.8.0,<3.0.0)", "pymupdf (>=1.22.3,<2.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pypdfium2 (>=4.10.0,<5.0.0)", "pyspark (>=3.4.0,<4.0.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "rapidfuzz (>=3.1.1,<4.0.0)", "rapidocr-onnxruntime (>=1.3.2,<2.0.0)", "rdflib (==7.0.0)", "requests-toolbelt (>=1.0.0,<2.0.0)", "rspace_client (>=2.5.0,<3.0.0)", "scikit-learn (>=1.2.2,<2.0.0)", "sqlite-vss (>=0.1.2,<0.2.0)", "streamlit (>=1.18.0,<2.0.0)", "sympy (>=1.12,<2.0)", "telethon (>=1.28.5,<2.0.0)", "tidb-vector (>=0.0.3,<1.0.0)", "timescale-vector (>=0.0.1,<0.0.2)", "tqdm (>=4.48.0)", "tree-sitter (>=0.20.2,<0.21.0)", "tree-sitter-languages (>=1.8.0,<2.0.0)", "upstash-redis (>=0.15.0,<0.16.0)", "vdms (>=0.0.20,<0.0.21)", "xata (>=1.0.0a7,<2.0.0)", "xmltodict (>=0.13.0,<0.14.0)"]
[[package]]
name = "langchain-core"
version = "0.1.46"
description = "Building applications with LLMs through composability"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langchain_core-0.1.46-py3-none-any.whl", hash = "sha256:1c0befcd2665dd4aa153318aa9bf729071644b4c179e491769b8e583b4bf7441"},
{file = "langchain_core-0.1.46.tar.gz", hash = "sha256:17c416349f5c7a9808e70e3725749a3a2df5088f1ecca045c883871aa95f9c9e"},
]
[package.dependencies]
jsonpatch = ">=1.33,<2.0"
langsmith = ">=0.1.0,<0.2.0"
packaging = ">=23.2,<24.0"
pydantic = ">=1,<3"
PyYAML = ">=5.3"
tenacity = ">=8.1.0,<9.0.0"
[package.extras]
extended-testing = ["jinja2 (>=3,<4)"]
[[package]]
name = "langchain-openai"
version = "0.1.4"
description = "An integration package connecting OpenAI and LangChain"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langchain_openai-0.1.4-py3-none-any.whl", hash = "sha256:a349ada8724921e380aab03ee312568f5ca99adbc806f6878d79ff9cd1d6d353"},
{file = "langchain_openai-0.1.4.tar.gz", hash = "sha256:1a3220464c270d73ea3987010617789adc2099d4d4740b15c7734ab07e1f054b"},
]
[package.dependencies]
langchain-core = ">=0.1.46,<0.2.0"
openai = ">=1.10.0,<2.0.0"
tiktoken = ">=0.5.2,<1"
[[package]]
name = "langchain-text-splitters"
version = "0.0.1"
description = "LangChain text splitting utilities"
optional = false
python-versions = ">=3.8.1,<4.0"
files = [
{file = "langchain_text_splitters-0.0.1-py3-none-any.whl", hash = "sha256:f5b802f873f5ff6a8b9259ff34d53ed989666ef4e1582e6d1adb3b5520e3839a"},
{file = "langchain_text_splitters-0.0.1.tar.gz", hash = "sha256:ac459fa98799f5117ad5425a9330b21961321e30bc19a2a2f9f761ddadd62aa1"},
]
[package.dependencies]
langchain-core = ">=0.1.28,<0.2.0"
[package.extras]
extended-testing = ["lxml (>=5.1.0,<6.0.0)"]
[[package]]
name = "langsmith"
version = "0.1.5"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
optional = false
python-versions = ">=3.8.1,<4.0"
files = [
{file = "langsmith-0.1.5-py3-none-any.whl", hash = "sha256:a1811821a923d90e53bcbacdd0988c3c366aff8f4c120d8777e7af8ecda06268"},
{file = "langsmith-0.1.5.tar.gz", hash = "sha256:aa7a2861aa3d9ae563a077c622953533800466c4e2e539b0d567b84d5fd5b157"},
]
[package.dependencies]
pydantic = ">=1,<3"
requests = ">=2,<3"
[[package]] [[package]]
name = "loguru" name = "loguru"
version = "0.7.2" version = "0.7.2"
@ -3210,6 +3446,25 @@ files = [
{file = "MarkupSafe-2.1.5.tar.gz", hash = "sha256:d283d37a890ba4c1ae73ffadf8046435c76e7bc2247bbb63c00bd1a709c6544b"}, {file = "MarkupSafe-2.1.5.tar.gz", hash = "sha256:d283d37a890ba4c1ae73ffadf8046435c76e7bc2247bbb63c00bd1a709c6544b"},
] ]
[[package]]
name = "marshmallow"
version = "3.21.1"
description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
optional = false
python-versions = ">=3.8"
files = [
{file = "marshmallow-3.21.1-py3-none-any.whl", hash = "sha256:f085493f79efb0644f270a9bf2892843142d80d7174bbbd2f3713f2a589dc633"},
{file = "marshmallow-3.21.1.tar.gz", hash = "sha256:4e65e9e0d80fc9e609574b9983cf32579f305c718afb30d7233ab818571768c3"},
]
[package.dependencies]
packaging = ">=17.0"
[package.extras]
dev = ["marshmallow[tests]", "pre-commit (>=3.5,<4.0)", "tox"]
docs = ["alabaster (==0.7.16)", "autodocsumm (==0.2.12)", "sphinx (==7.2.6)", "sphinx-issues (==4.0.0)", "sphinx-version-warning (==1.1.2)"]
tests = ["pytest", "pytz", "simplejson"]
[[package]] [[package]]
name = "matplotlib" name = "matplotlib"
version = "3.8.4" version = "3.8.4"
@ -3832,12 +4087,12 @@ test = ["pep440", "pre-commit", "pytest", "testpath"]
[[package]] [[package]]
name = "neo4j" name = "neo4j"
version = "5.19.0" version = "5.20.0"
description = "Neo4j Bolt driver for Python" description = "Neo4j Bolt driver for Python"
optional = false optional = false
python-versions = ">=3.7" python-versions = ">=3.7"
files = [ files = [
{file = "neo4j-5.19.0.tar.gz", hash = "sha256:23704f604214174f3b7d15a38653a1462809986019dfdaf773ff7ca4e1b9e2de"}, {file = "neo4j-5.20.0.tar.gz", hash = "sha256:c59e54a0c0fa1f109f1d2fa5293c29c2bb30ba388b4f9dd9656919793c10063a"},
] ]
[package.dependencies] [package.dependencies]
@ -4198,13 +4453,13 @@ files = [
[[package]] [[package]]
name = "packaging" name = "packaging"
version = "24.0" version = "23.2"
description = "Core utilities for Python packages" description = "Core utilities for Python packages"
optional = false optional = false
python-versions = ">=3.7" python-versions = ">=3.7"
files = [ files = [
{file = "packaging-24.0-py3-none-any.whl", hash = "sha256:2ddfb553fdf02fb784c234c7ba6ccc288296ceabec964ad2eae3777778130bc5"}, {file = "packaging-23.2-py3-none-any.whl", hash = "sha256:8c491190033a9af7e1d931d0b5dacc2ef47509b34dd0de67ed209b5203fc88c7"},
{file = "packaging-24.0.tar.gz", hash = "sha256:eb82c5e3e56209074766e6885bb04b8c38a0c015d0a30036ebe7ece34c9989e9"}, {file = "packaging-23.2.tar.gz", hash = "sha256:048fb0e9405036518eaaf48a55953c750c11e1a1b68e0dd1a9d62ed0c092cfc5"},
] ]
[[package]] [[package]]
@ -4665,22 +4920,22 @@ wcwidth = "*"
[[package]] [[package]]
name = "protobuf" name = "protobuf"
version = "4.25.3" version = "4.25.1"
description = "" description = ""
optional = false optional = false
python-versions = ">=3.8" python-versions = ">=3.8"
files = [ files = [
{file = "protobuf-4.25.3-cp310-abi3-win32.whl", hash = "sha256:d4198877797a83cbfe9bffa3803602bbe1625dc30d8a097365dbc762e5790faa"}, {file = "protobuf-4.25.1-cp310-abi3-win32.whl", hash = "sha256:193f50a6ab78a970c9b4f148e7c750cfde64f59815e86f686c22e26b4fe01ce7"},
{file = "protobuf-4.25.3-cp310-abi3-win_amd64.whl", hash = "sha256:209ba4cc916bab46f64e56b85b090607a676f66b473e6b762e6f1d9d591eb2e8"}, {file = "protobuf-4.25.1-cp310-abi3-win_amd64.whl", hash = "sha256:3497c1af9f2526962f09329fd61a36566305e6c72da2590ae0d7d1322818843b"},
{file = "protobuf-4.25.3-cp37-abi3-macosx_10_9_universal2.whl", hash = "sha256:f1279ab38ecbfae7e456a108c5c0681e4956d5b1090027c1de0f934dfdb4b35c"}, {file = "protobuf-4.25.1-cp37-abi3-macosx_10_9_universal2.whl", hash = "sha256:0bf384e75b92c42830c0a679b0cd4d6e2b36ae0cf3dbb1e1dfdda48a244f4bcd"},
{file = "protobuf-4.25.3-cp37-abi3-manylinux2014_aarch64.whl", hash = "sha256:e7cb0ae90dd83727f0c0718634ed56837bfeeee29a5f82a7514c03ee1364c019"}, {file = "protobuf-4.25.1-cp37-abi3-manylinux2014_aarch64.whl", hash = "sha256:0f881b589ff449bf0b931a711926e9ddaad3b35089cc039ce1af50b21a4ae8cb"},
{file = "protobuf-4.25.3-cp37-abi3-manylinux2014_x86_64.whl", hash = "sha256:7c8daa26095f82482307bc717364e7c13f4f1c99659be82890dcfc215194554d"}, {file = "protobuf-4.25.1-cp37-abi3-manylinux2014_x86_64.whl", hash = "sha256:ca37bf6a6d0046272c152eea90d2e4ef34593aaa32e8873fc14c16440f22d4b7"},
{file = "protobuf-4.25.3-cp38-cp38-win32.whl", hash = "sha256:f4f118245c4a087776e0a8408be33cf09f6c547442c00395fbfb116fac2f8ac2"}, {file = "protobuf-4.25.1-cp38-cp38-win32.whl", hash = "sha256:abc0525ae2689a8000837729eef7883b9391cd6aa7950249dcf5a4ede230d5dd"},
{file = "protobuf-4.25.3-cp38-cp38-win_amd64.whl", hash = "sha256:c053062984e61144385022e53678fbded7aea14ebb3e0305ae3592fb219ccfa4"}, {file = "protobuf-4.25.1-cp38-cp38-win_amd64.whl", hash = "sha256:1484f9e692091450e7edf418c939e15bfc8fc68856e36ce399aed6889dae8bb0"},
{file = "protobuf-4.25.3-cp39-cp39-win32.whl", hash = "sha256:19b270aeaa0099f16d3ca02628546b8baefe2955bbe23224aaf856134eccf1e4"}, {file = "protobuf-4.25.1-cp39-cp39-win32.whl", hash = "sha256:8bdbeaddaac52d15c6dce38c71b03038ef7772b977847eb6d374fc86636fa510"},
{file = "protobuf-4.25.3-cp39-cp39-win_amd64.whl", hash = "sha256:e3c97a1555fd6388f857770ff8b9703083de6bf1f9274a002a332d65fbb56c8c"}, {file = "protobuf-4.25.1-cp39-cp39-win_amd64.whl", hash = "sha256:becc576b7e6b553d22cbdf418686ee4daa443d7217999125c045ad56322dda10"},
{file = "protobuf-4.25.3-py3-none-any.whl", hash = "sha256:f0700d54bcf45424477e46a9f0944155b46fb0639d69728739c0e47bab83f2b9"}, {file = "protobuf-4.25.1-py3-none-any.whl", hash = "sha256:a19731d5e83ae4737bb2a089605e636077ac001d18781b3cf489b9546c7c80d6"},
{file = "protobuf-4.25.3.tar.gz", hash = "sha256:25b5d0b42fd000320bd7830b349e3b696435f3b329810427a6bcce6a5492cc5c"}, {file = "protobuf-4.25.1.tar.gz", hash = "sha256:57d65074b4f5baa4ab5da1605c02be90ac20c8b40fb137d6a8df9f416b0d0ce2"},
] ]
[[package]] [[package]]
@ -4999,13 +5254,13 @@ testutils = ["gitpython (>3)"]
[[package]] [[package]]
name = "pymdown-extensions" name = "pymdown-extensions"
version = "10.8" version = "10.8.1"
description = "Extension pack for Python Markdown." description = "Extension pack for Python Markdown."
optional = false optional = false
python-versions = ">=3.8" python-versions = ">=3.8"
files = [ files = [
{file = "pymdown_extensions-10.8-py3-none-any.whl", hash = "sha256:3539003ff0d5e219ba979d2dc961d18fcad5ac259e66c764482e8347b4c0503c"}, {file = "pymdown_extensions-10.8.1-py3-none-any.whl", hash = "sha256:f938326115884f48c6059c67377c46cf631c733ef3629b6eed1349989d1b30cb"},
{file = "pymdown_extensions-10.8.tar.gz", hash = "sha256:91ca336caf414e1e5e0626feca86e145de9f85a3921a7bcbd32890b51738c428"}, {file = "pymdown_extensions-10.8.1.tar.gz", hash = "sha256:3ab1db5c9e21728dabf75192d71471f8e50f216627e9a1fa9535ecb0231b9940"},
] ]
[package.dependencies] [package.dependencies]
@ -5061,6 +5316,16 @@ files = [
{file = "pyreadline3-3.4.1.tar.gz", hash = "sha256:6f3d1f7b8a31ba32b73917cefc1f28cc660562f39aea8646d30bd6eff21f7bae"}, {file = "pyreadline3-3.4.1.tar.gz", hash = "sha256:6f3d1f7b8a31ba32b73917cefc1f28cc660562f39aea8646d30bd6eff21f7bae"},
] ]
[[package]]
name = "pysbd"
version = "0.3.4"
description = "pysbd (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box across many languages."
optional = false
python-versions = ">=3"
files = [
{file = "pysbd-0.3.4-py3-none-any.whl", hash = "sha256:cd838939b7b0b185fcf86b0baf6636667dfb6e474743beeff878e9f42e022953"},
]
[[package]] [[package]]
name = "pytest" name = "pytest"
version = "7.4.4" version = "7.4.4"
@ -5117,6 +5382,40 @@ black = ">=23"
pytest = ">=7" pytest = ">=7"
ruff = ">=0.0.258" ruff = ">=0.0.258"
[[package]]
name = "pytest-repeat"
version = "0.9.3"
description = "pytest plugin for repeating tests"
optional = false
python-versions = ">=3.7"
files = [
{file = "pytest_repeat-0.9.3-py3-none-any.whl", hash = "sha256:26ab2df18226af9d5ce441c858f273121e92ff55f5bb311d25755b8d7abdd8ed"},
{file = "pytest_repeat-0.9.3.tar.gz", hash = "sha256:ffd3836dfcd67bb270bec648b330e20be37d2966448c4148c4092d1e8aba8185"},
]
[package.dependencies]
pytest = "*"
[[package]]
name = "pytest-xdist"
version = "3.5.0"
description = "pytest xdist plugin for distributed testing, most importantly across multiple CPUs"
optional = false
python-versions = ">=3.7"
files = [
{file = "pytest-xdist-3.5.0.tar.gz", hash = "sha256:cbb36f3d67e0c478baa57fa4edc8843887e0f6cfc42d677530a36d7472b32d8a"},
{file = "pytest_xdist-3.5.0-py3-none-any.whl", hash = "sha256:d075629c7e00b611df89f490a5063944bee7a4362a5ff11c7cc7824a03dfce24"},
]
[package.dependencies]
execnet = ">=1.1"
pytest = ">=6.2.0"
[package.extras]
psutil = ["psutil (>=3.0)"]
setproctitle = ["setproctitle"]
testing = ["filelock"]
[[package]] [[package]]
name = "python-dateutil" name = "python-dateutil"
version = "2.9.0.post0" version = "2.9.0.post0"
@ -5401,6 +5700,33 @@ urllib3 = ">=1.26.14,<3"
[package.extras] [package.extras]
fastembed = ["fastembed (==0.2.6)"] fastembed = ["fastembed (==0.2.6)"]
[[package]]
name = "ragas"
version = "0.1.7"
description = ""
optional = false
python-versions = "*"
files = [
{file = "ragas-0.1.7-py3-none-any.whl", hash = "sha256:abe02b40a8d11842c42e222226901287858beb70203f1227a403a9261d0bb684"},
{file = "ragas-0.1.7.tar.gz", hash = "sha256:db857262dda63fc01a7eef837cbba166202084b5d535b2e8ad408c63a66f9319"},
]
[package.dependencies]
appdirs = "*"
datasets = "*"
langchain = "*"
langchain-community = "*"
langchain-core = "*"
langchain-openai = "*"
nest-asyncio = "*"
numpy = "*"
openai = ">1"
pysbd = ">=0.3.4"
tiktoken = "*"
[package.extras]
all = ["sentence-transformers"]
[[package]] [[package]]
name = "ratelimiter" name = "ratelimiter"
version = "1.2.0.post0" version = "1.2.0.post0"
@ -5905,6 +6231,53 @@ nativelib = ["pyobjc-framework-Cocoa", "pywin32"]
objc = ["pyobjc-framework-Cocoa"] objc = ["pyobjc-framework-Cocoa"]
win32 = ["pywin32"] win32 = ["pywin32"]
[[package]]
name = "sentry-sdk"
version = "2.0.1"
description = "Python client for Sentry (https://sentry.io)"
optional = false
python-versions = ">=3.6"
files = [
{file = "sentry_sdk-2.0.1-py2.py3-none-any.whl", hash = "sha256:b54c54a2160f509cf2757260d0cf3885b608c6192c2555a3857e3a4d0f84bdb3"},
{file = "sentry_sdk-2.0.1.tar.gz", hash = "sha256:c278e0f523f6f0ee69dc43ad26dcdb1202dffe5ac326ae31472e012d941bee21"},
]
[package.dependencies]
certifi = "*"
urllib3 = ">=1.26.11"
[package.extras]
aiohttp = ["aiohttp (>=3.5)"]
arq = ["arq (>=0.23)"]
asyncpg = ["asyncpg (>=0.23)"]
beam = ["apache-beam (>=2.12)"]
bottle = ["bottle (>=0.12.13)"]
celery = ["celery (>=3)"]
celery-redbeat = ["celery-redbeat (>=2)"]
chalice = ["chalice (>=1.16.0)"]
clickhouse-driver = ["clickhouse-driver (>=0.2.0)"]
django = ["django (>=1.8)"]
falcon = ["falcon (>=1.4)"]
fastapi = ["fastapi (>=0.79.0)"]
flask = ["blinker (>=1.1)", "flask (>=0.11)", "markupsafe"]
grpcio = ["grpcio (>=1.21.1)"]
httpx = ["httpx (>=0.16.0)"]
huey = ["huey (>=2)"]
loguru = ["loguru (>=0.5)"]
openai = ["openai (>=1.0.0)", "tiktoken (>=0.3.0)"]
opentelemetry = ["opentelemetry-distro (>=0.35b0)"]
opentelemetry-experimental = ["opentelemetry-distro (>=0.40b0,<1.0)", "opentelemetry-instrumentation-aiohttp-client (>=0.40b0,<1.0)", "opentelemetry-instrumentation-django (>=0.40b0,<1.0)", "opentelemetry-instrumentation-fastapi (>=0.40b0,<1.0)", "opentelemetry-instrumentation-flask (>=0.40b0,<1.0)", "opentelemetry-instrumentation-requests (>=0.40b0,<1.0)", "opentelemetry-instrumentation-sqlite3 (>=0.40b0,<1.0)", "opentelemetry-instrumentation-urllib (>=0.40b0,<1.0)"]
pure-eval = ["asttokens", "executing", "pure-eval"]
pymongo = ["pymongo (>=3.1)"]
pyspark = ["pyspark (>=2.4.4)"]
quart = ["blinker (>=1.1)", "quart (>=0.16.1)"]
rq = ["rq (>=0.6)"]
sanic = ["sanic (>=0.8)"]
sqlalchemy = ["sqlalchemy (>=1.2)"]
starlette = ["starlette (>=0.19.1)"]
starlite = ["starlite (>=1.48)"]
tornado = ["tornado (>=5)"]
[[package]] [[package]]
name = "setuptools" name = "setuptools"
version = "69.5.1" version = "69.5.1"
@ -6644,6 +7017,21 @@ files = [
{file = "typing_extensions-4.11.0.tar.gz", hash = "sha256:83f085bd5ca59c80295fc2a82ab5dac679cbe02b9f33f7d83af68e241bea51b0"}, {file = "typing_extensions-4.11.0.tar.gz", hash = "sha256:83f085bd5ca59c80295fc2a82ab5dac679cbe02b9f33f7d83af68e241bea51b0"},
] ]
[[package]]
name = "typing-inspect"
version = "0.9.0"
description = "Runtime inspection utilities for typing module."
optional = false
python-versions = "*"
files = [
{file = "typing_inspect-0.9.0-py3-none-any.whl", hash = "sha256:9ee6fc59062311ef8547596ab6b955e1b8aa46242d854bfc78f4f6b0eff35f9f"},
{file = "typing_inspect-0.9.0.tar.gz", hash = "sha256:b23fc42ff6f6ef6954e4852c1fb512cdd18dbea03134f91f856a95ccc9461f78"},
]
[package.dependencies]
mypy-extensions = ">=0.3.0"
typing-extensions = ">=3.7.4"
[[package]] [[package]]
name = "tzdata" name = "tzdata"
version = "2024.1" version = "2024.1"
@ -7227,7 +7615,7 @@ duckdb = ["duckdb"]
filesystem = [] filesystem = []
gcp = [] gcp = []
gs = [] gs = []
lancedb = [] lancedb = ["lancedb"]
motherduck = ["duckdb", "pyarrow"] motherduck = ["duckdb", "pyarrow"]
mssql = [] mssql = []
neo4j = ["neo4j"] neo4j = ["neo4j"]
@ -7244,4 +7632,4 @@ weaviate = ["weaviate-client"]
[metadata] [metadata]
lock-version = "2.0" lock-version = "2.0"
python-versions = ">=3.9.0,<3.12" python-versions = ">=3.9.0,<3.12"
content-hash = "9609dfc41209efd1fd5e53fd1b77353cb5bce3244ffdb65f81eee686a68b6fc5" content-hash = "0f66c0ad86b74b152f430a3ed9376bf63154eac83b12b7c3dd96f86af4399079"

3
pyproject.toml
View file

@ -63,6 +63,9 @@ tiktoken = "^0.6.0"
dspy-ai = "2.4.3" dspy-ai = "2.4.3"
posthog = "^3.5.0" posthog = "^3.5.0"
lancedb = "^0.6.10" lancedb = "^0.6.10"
importlib-metadata = "6.1.0"
deepeval = "^0.21.36"
[tool.poetry.extras] [tool.poetry.extras]