Introduces optional authentication for Neo4j and Memgraph adapter handling.
---
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## Description
Add test of MCP functionality and starting of MCP server, fix some MCP and LanceDB
issues
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## Description
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## Description
Fixes url typo in general adapters
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## Description
Fixes Qdrant adapter faulty limit=0 behavior
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## Description
Enables the use of a remote Kuzu instance via a RESTful API.
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## Description
adds and invokes Neo4jAdapter initialize for schema setup
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## Description
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Co-authored-by: Boris <boris@topoteretes.com>
Adds base node label to Neo4j Adapter
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Signed-off-by: Diego B Theuerkauf <diego.theuerkauf@tuebingen.mpg.de>
Co-authored-by: Boris <boris@topoteretes.com>
Co-authored-by: vasilije <vas.markovic@gmail.com>
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Co-authored-by: Daniel Molnar <soobrosa@gmail.com>
Co-authored-by: Diego Baptista Theuerkauf <34717973+diegoabt@users.noreply.github.com>
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## Description
Adds subgraph retriever to graph based completion searches
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- set the parallel option to None in Fastembed's embedding function
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## Description
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## DCO Affirmation
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## Description
Move CollectionNotFoundError logging to be at Debug level
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## Description
Update LanceDB and rewrite data points to run async
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## Description
This PR adds support for the Memgraph graph database following the
[graph database integration
guide](https://docs.cognee.ai/contributing/adding-providers/graph-db/graph-database-integration):
- Implemented `MemgraphAdapter` for interfacing with Memgraph.
- Updated `get_graph_engine.py` to return MemgraphAdapter when
appropriate.
- Added a test script:` test_memgraph.py.`
- Created a dedicated test workflow:
`.github/workflows/test_memgraph.yml.`
## DCO Affirmation
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## Description
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## Description
Add log handling options for cognee exceptions
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## Description
Switch typing from str to UUID for NetworkX node_id
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## Description
- db_engine was not dynamically gathered, with this a change in system
directory will be handled correctly
- Added top_k to all search types
- Reduced delete test threshold
- Updated MCP version and info
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## DCO Affirmation
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Co-authored-by: Boris <boris@topoteretes.com>
Co-authored-by: Boris Arzentar <borisarzentar@gmail.com>
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## DCO Affirmation
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## Description
Resolve issue noticed by [RyabykinIlya](https://github.com/RyabykinIlya)
where too many HuggingFace requests have been sent due to the embedding
engine not working as a singleton per config
## DCO Affirmation
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---------
Signed-off-by: Ryabykin Ilya <ryabykinia@sibur.ru>
Co-authored-by: greshish <ryabykinia@yandex.ru>
Co-authored-by: Ryabykin Ilya <ryabykinia@sibur.ru>
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## Description
Delete by document.
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## Description
Adds S3 support
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## Description
Allow embedding of big strings to support full row embedding in SQL
databases
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## Description
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## Description
Add relational db migration action
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## Description
Resolve issues with duplicate chunks for PGVector
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## Description
- Fix Ollama endpoint issue
- Fix COMPLETION and GRAPH COMPLETION MCP use
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## Description
Add ability to migrate relational database to graph database
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## Description
Introducing scructlog.
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## Description
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…ollection handling its not an error
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## Description
Deletes error logging from ChromaDB adapter
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<!-- This is an auto-generated comment: release notes by coderabbit.ai
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## Summary by CodeRabbit
- **Refactor**
- Updated internal error handling to ensure more consistent responses
during unforeseen issues. This change streamlines the system’s approach
to managing errors, reducing unnecessary internal error logs while
maintaining reliable operations and a stable user experience. These
refinements contribute to improved system stability and efficient error
management. Internal operations are now better optimized to handle
unexpected scenarios gracefully.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
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## Description
Let's scope it out.
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<!-- This is an auto-generated comment: release notes by coderabbit.ai
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## Summary by CodeRabbit
- **New Features**
- Introduced support for the Kuzu graph database provider, enhancing
graph operations and data management capabilities.
- Added a comprehensive adapter for Kuzu, facilitating various graph
database operations.
- Expanded the enumeration of graph database types to include Kuzu.
- **Tests**
- Launched comprehensive asynchronous tests to validate the new Kuzu
graph integration’s performance and reliability.
- **Chores**
- Updated dependency settings and continuous integration workflows to
include the Kuzu provider, ensuring smoother deployments and improved
system quality.
- Enhanced configuration documentation to clarify Kuzu database
requirements.
- Modified Dockerfile to include Kuzu in the installation extras.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: Igor Ilic <30923996+dexters1@users.noreply.github.com>
<!-- .github/pull_request_template.md -->
## Description
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# Add Support for ChromaDB
## Summary
This PR adds support for ChromaDB as a vector database option in the
Cognee application. ChromaDB is a modern, open-source embedding database
designed for AI applications.
## Changes
- Created a new ChromaDBAdapter implementation for vector database
operations
- Added comprehensive test suite for ChromaDB functionality
- Updated docker-compose.yml to include ChromaDB service
- Modified environment configuration to support ChromaDB settings
- Updated vector engine creation logic to support ChromaDB as an option
## Technical Details
- Implemented `ChromaDBAdapter.py` (347 lines) with full CRUD operations
for vector data
- Created test suite (`test_chromadb.py`) with 171 lines of test
coverage
- Updated vector engine creation process to dynamically select ChromaDB
when configured
- Modified settings router to accommodate new database option
- Updated environment template with ChromaDB configuration options
## Docker Changes
- Added ChromaDB service to docker-compose.yml with appropriate
configuration
This PR enhances Cognee's flexibility by providing an alternative vector
database option, allowing users to choose the most appropriate database
for their specific use case.
## DCO Affirmation
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Tested with UI + tests.
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **New Features**
- Expanded vector database integration by adding support for Chromadb,
enabling enhanced data management and search functionalities.
- **Tests**
- Added automated tests to validate the Chromadb integration and related
operations.
- **Chores**
- Updated configuration guidance and dependency management to include
Chromadb.
- Provided an optional container deployment template for Chromadb.
- Added a new entry to ignore the `.chromadb_data/` directory in version
control.
- Introduced a new GitHub Actions workflow for testing Chromadb
integration.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: hajdul88 <52442977+hajdul88@users.noreply.github.com>
Co-authored-by: Vasilije <8619304+Vasilije1990@users.noreply.github.com>
<!-- .github/pull_request_template.md -->
## Description
<!-- Provide a clear description of the changes in this PR -->
## DCO Affirmation
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<!-- This is an auto-generated comment: release notes by coderabbit.ai
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## Summary by CodeRabbit
- **New Features**
- Improved backend data organization with automatic categorization of
stored items for enhanced search and retrieval.
- Launched a product recommendation system that analyzes customer data
and preferences to suggest top products.
- Introduced a sample dataset showcasing customer profiles, preferences,
and product interactions for demonstration purposes.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
<!-- .github/pull_request_template.md -->
## Description
Fix PostgreSQL database connection problems
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<!-- This is an auto-generated comment: release notes by coderabbit.ai
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## Summary by CodeRabbit
- **Refactor**
- Improved the system’s database connection process to enhance
compatibility across multiple relational databases. The application now
dynamically selects the optimal connection method—reusing established
connections when possible—to ensure improved stability and performance
without affecting the public interface.
- Streamlined the creation of the embedding engine by removing it as a
parameter and generating it internally.
- Removed dependency on the embedding engine in the vector engine
retrieval process.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
<!-- .github/pull_request_template.md -->
## Description
Fixes search dynamic collection mapping in graph completion search
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<!-- This is an auto-generated comment: release notes by coderabbit.ai
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## Summary by CodeRabbit
- **Refactor**
- Adjusted graph processing to remove extraneous notifications when
expected data elements are absent.
- Updated query processing to ensure a more consistent selection of
related data types.
- Streamlined database error handling by aligning exception management
with standard practices.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
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## Description
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<!-- This is an auto-generated comment: release notes by coderabbit.ai
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## Summary by CodeRabbit
- **New Features**
- Automatically creates a blank graph when a file isn’t found, ensuring
smoother operations.
- Updated demonstration notebooks with dynamic configurations, including
refined search operations and input prompts.
- Introduced optional support for additional graph functionalities via
an integrated dependency.
- **Refactor**
- Streamlined processing by eliminating duplicate steps and simplifying
graph rendering workflows.
- **Chores**
- Updated environment configurations and upgraded the Python runtime for
improved performance and consistency.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
<!-- .github/pull_request_template.md -->
## Description
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<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **New Features**
- Enhanced graph analytics now offer detailed metrics—including shortest
path lengths, diameter, and clustering coefficients—to provide deeper
insights.
- Added new functions for creating connected test graphs and validating
metrics against predefined ground truth values.
- Introduced a new JSON file containing metrics for connected and
disconnected graph structures.
- **Improvements**
- Updated how graphs are projected to consistently use undirected
representations, ensuring more accurate and reliable metric
calculations.
- Streamlined metric consistency checks across different graph
processing methods for robust, reliable results.
- Simplified testing logic by consolidating metric assertions into a
single function call.
- **Chores**
- Removed unnecessary secret variables from the workflow configuration,
potentially affecting access to certain resources.
- Updated secret management to include the new `OPENAI_API_KEY`.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
<!-- .github/pull_request_template.md -->
This PR contains the ollama specific llm adapter together with the
embedding engine.
Tested with the following models:
`LLM_API_KEY="ollama"
llm_model = "llama3.1:8b"
LLM_PROVIDER = "ollama"
llm_endpoint = "http://localhost:11434/v1"
EMBEDDING_PROVIDER="ollama"
EMBEDDING_MODEL="avr/sfr-embedding-mistral:latest"
EMBEDDING_ENDPOINT="http://localhost:11434/api/embeddings"
EMBEDDING_DIMENSIONS=4096
HUGGINGFACE_TOKENIZER="Salesforce/SFR-Embedding-Mistral"`
## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin
<!-- This is an auto-generated comment: release notes by coderabbit.ai
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## Summary by CodeRabbit
- **New Features**
- Introduced a new embedding option that leverages an external provider
for asynchronous text processing.
- Added enhanced language model integration using a dedicated adapter to
improve interaction quality.
- **Enhancements**
- Expanded configuration settings to include a new tokenizer option.
- Updated provider selection logic to incorporate the additional
embedding and language model features.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: Vasilije <8619304+Vasilije1990@users.noreply.github.com>
Co-authored-by: vasilije <vas.markovic@gmail.com>
<!-- .github/pull_request_template.md -->
## Description
<!-- Provide a clear description of the changes in this PR -->
## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **New Features**
- Enhanced code search and dependency analysis for improved accuracy.
- Introduced a new high-performance text embedding option.
- Added an additional execution entry point for code graph processing.
- New optional parameters for flexible property selection in retrieval
functions.
- Introduced new classes for handling import statements, function
definitions, and class definitions.
- Updated embedding engine selection based on configuration options.
- **Bug Fixes**
- Improved error handling in search operations and database queries for
a more stable user experience.
- Enhanced error logging for source code parsing.
- **Refactor**
- Streamlined asynchronous processing and refactored internal dependency
extraction.
- Updated configuration and integration settings to enhance overall
reliability.
- Restructured functions for simplified dependency handling.
- **Chores**
- Upgraded and reorganized dependency management with optional libraries
for extended functionality.
- Added new secret parameters for embedding configuration in workflow
settings.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: vasilije <vas.markovic@gmail.com>
