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Create a dedicated CSV ingestion path with a custom loader and custom
chunker that preserves row-column relationships in the produced chunks.
#1348
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Added a variable to control which instructor mode we use. The defaults
for each adapter are used, but a user can override this if the set the
`LLM_INSTRUCTOR_MODE` env variable.
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Updates crawler test url to avoid blocking and unavailable sites in CI.
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## Description
This PR should fix the web crawler integration test issue in our CI
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## Description
Removes `cognee` script entry from the pyproject.toml. This might affect
the MCP server startup.
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## Description
This prerequisite is not required because `cognee.add()` is invoked in
the `cognify`. This confuses Claude
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## Description
Add deterministic Cognee search test after rel DB migration.
Test gathers all relevant relationships regarding Customers and their
Invoices from relational DB that was migrated and then tries to get the
same results with Cognee search.
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## Description
Added Acceptance Criteria to Pull Request template
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## Description
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Implement File-Based Version of the Redis Cache Adapter
Description and acceptance criteria:
This PR introduces a file-based cache adapter as an alternative to the
existing Redis-based adapter. It provides the same core functionality
for caching session data and maintaining context across multiple user
interactions but stores data locally in files instead of Redis.
Because the shared Kùzu lock mechanism relies on Redis, it is not
supported in this implementation. If a lock is configured, the adapter
will raise an error to prevent misconfiguration.
You can test this adapter by enabling caching with the following
settings:
caching=True
cache_backend="fs"
When running multiple searches in a session, the system should correctly
maintain conversational context. For example:
- What is XY?
- Are you sure?
- What was my first question?
In this case, the adapter should preserve previous user–Cognee
interactions within the cache file so that follow-up queries remain
context-aware.
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Co-authored-by: Vasilije <8619304+Vasilije1990@users.noreply.github.com>
Co-authored-by: hajdul88 <52442977+hajdul88@users.noreply.github.com>
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## Description
Transform default node set value needed for FastAPI to default value
needed by Cognee
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## Description
Explicitely set env to dev for each test even if it's set on a workflow
level to avoid a chance to not have it set in a new workflow in the
future, add setting of env to dev where it was missing. Add
"test-machine" .anon_id for every cicd call
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Added multi-user support for Falkor. Adding support for the rest of the
graph dbs should be a bit easier after this first one, especially since
Falkor is hybrid.
There are a few things code quality wise that might need changing, I am
open to suggestions.
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---------
Co-authored-by: Andrej Milicevic <milicevi@Andrejs-MacBook-Pro.local>
Co-authored-by: Igor Ilic <30923996+dexters1@users.noreply.github.com>
Co-authored-by: Igor Ilic <igorilic03@gmail.com>
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## Description
Add multi-tenancy to Cognee
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Changed the key used for openai, since we changed the keys in the
secrets.
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## Description
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Add emptiness check to Neptune adapter
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## Description
Resolve issue with cypher search by encoding the return value from the
cypher query into JSON. Uses fastapi json encoder
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## Screenshots/Videos (if applicable)
Example of result now with Cypher search with the following query "MATCH
(src)-[rel]->(nbr) RETURN src, rel" on Simple example:
```
{
"search_result":[
[
[
{
"_id":{
"offset":0,
"table":0
},
"_label":"Node",
"id":"87372381-a9fe-5b82-9c92-3f5dbab1bc35",
"name":"",
"type":"DocumentChunk",
"created_at":"2025-11-05T14:12:46.707597",
"updated_at":"2025-11-05T14:12:54.801747",
"properties":"{\"created_at\": 1762351945009, \"updated_at\": 1762351945009, \"ontology_valid\": false, \"version\": 1, \"topological_rank\": 0, \"metadata\": {\"index_fields\": [\"text\"]}, \"belongs_to_set\": null, \"text\": \"\\n Natural language processing (NLP) is an interdisciplinary\\n subfield of computer science and information retrieval.\\n \", \"chunk_size\": 48, \"chunk_index\": 0, \"cut_type\": \"paragraph_end\"}"
},
{
"_src":{
"offset":0,
"table":0
},
"_dst":{
"offset":1,
"table":0
},
"_label":"EDGE",
"_id":{
"offset":0,
"table":1
},
"relationship_name":"contains",
"created_at":"2025-11-05T14:12:47.217590",
"updated_at":"2025-11-05T14:12:55.193003",
"properties":"{\"source_node_id\": \"87372381-a9fe-5b82-9c92-3f5dbab1bc35\", \"target_node_id\": \"bc338a39-64d6-549a-acec-da60846dd90d\", \"relationship_name\": \"contains\", \"updated_at\": \"2025-11-05 14:12:54\", \"relationship_type\": \"contains\", \"edge_text\": \"relationship_name: contains; entity_name: natural language processing (nlp); entity_description: An interdisciplinary subfield of computer science and information retrieval concerned with interactions between computers and human (natural) languages.\"}"
}
]
]
],
"dataset_id":"UUID(""af4b1c1c-90fc-59b7-952c-1da9bbde370c"")",
"dataset_name":"main_dataset",
"graphs":"None"
}
```
Relates to https://github.com/topoteretes/cognee/pull/1725
Issue: https://github.com/topoteretes/cognee/issues/1723
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## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin.
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## Description
Created `Release Test Workflow` that for now executes load tests. It's
being triggered manually and on a PR to `main`.
NOTE: Release workflow is not in required checks because it contains new
and unstable tests. We will need to watch it ourselves.
The `Load Test` workflow is being called from the `Release Test
Workflow` and also manually on demand.
Limited load test duration to 60 minutes.
<!--
Please provide a clear, human-generated description of the changes in
this PR.
DO NOT use AI-generated descriptions. We want to understand your thought
process and reasoning.
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## Type of Change
<!-- Please check the relevant option -->
- [ ] Bug fix (non-breaking change that fixes an issue)
- [ ] New feature (non-breaking change that adds functionality)
- [ ] Breaking change (fix or feature that would cause existing
functionality to change)
- [ ] Documentation update
- [ ] Code refactoring
- [ ] Performance improvement
- [x] Other (please specify):
CI improvement
## Screenshots/Videos (if applicable)
<!-- Add screenshots or videos to help explain your changes -->
## Pre-submission Checklist
<!-- Please check all boxes that apply before submitting your PR -->
- [ ] **I have tested my changes thoroughly before submitting this PR**
- [ ] **This PR contains minimal changes necessary to address the
issue/feature**
- [ ] My code follows the project's coding standards and style
guidelines
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] I have added necessary documentation (if applicable)
- [ ] All new and existing tests pass
- [ ] I have searched existing PRs to ensure this change hasn't been
submitted already
- [ ] I have linked any relevant issues in the description
- [ ] My commits have clear and descriptive messages
## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin.
<!-- .github/pull_request_template.md -->
## Description
<!--
Please provide a clear, human-generated description of the changes in
this PR.
DO NOT use AI-generated descriptions. We want to understand your thought
process and reasoning.
-->
Add structured output support to all completion-based retrievers. If the
response model is not supplied, a string is used as default
## Type of Change
<!-- Please check the relevant option -->
- [ ] Bug fix (non-breaking change that fixes an issue)
- [x] New feature (non-breaking change that adds functionality)
- [ ] Breaking change (fix or feature that would cause existing
functionality to change)
- [ ] Documentation update
- [x] Code refactoring
- [ ] Performance improvement
- [ ] Other (please specify):
## Screenshots/Videos (if applicable)
<!-- Add screenshots or videos to help explain your changes -->
## Pre-submission Checklist
<!-- Please check all boxes that apply before submitting your PR -->
- [x] **I have tested my changes thoroughly before submitting this PR**
- [x] **This PR contains minimal changes necessary to address the
issue/feature**
- [x] My code follows the project's coding standards and style
guidelines
- [x] I have added tests that prove my fix is effective or that my
feature works
- [ ] I have added necessary documentation (if applicable)
- [ ] All new and existing tests pass
- [ ] I have searched existing PRs to ensure this change hasn't been
submitted already
- [ ] I have linked any relevant issues in the description
- [ ] My commits have clear and descriptive messages
## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin.
