<!-- .github/pull_request_template.md -->
## Description
Adds a Neptune Analytics 'hybrid' integration layer to the Cognee.ai
memory storage layer. The following configuration will use Amazon
Neptune Analytics to store all nodes, edges, and vector embeddings for
the Cognee.ai memory conversation.
```
cognee.config.set_graph_db_config(
{
"graph_database_provider": "neptune_analytics", # Specify Neptune Analytics as provider
"graph_database_url": graph_endpoint_url, # Neptune Analytics endpoint with the format neptune-graph://<GRAPH_ID>
}
)
cognee.config.set_vector_db_config(
{
"vector_db_provider": "neptune_analytics", # Specify Neptune Analytics as provider
"vector_db_url": graph_endpoint_url, # Neptune Analytics endpoint with the format neptune-graph://<GRAPH_ID>
}
)
```
For example, see
[neptune_analytics_example.py](08a3a1d2a8/examples/database_examples/neptune_analytics_example.py)
Related: https://github.com/topoteretes/cognee-starter/pull/11
## 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.
---------
Signed-off-by: Andrew Carbonetto <andrew.carbonetto@improving.com>
Signed-off-by: Andy Kwok <andy.kwok@improving.com>
Co-authored-by: Andy Kwok <andy.kwok@improving.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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the terms of the Topoteretes Developer Certificate of Origin.
---------
Co-authored-by: Igor Ilic <igorilic03@gmail.com>
<!-- .github/pull_request_template.md -->
## Description
Merge changes on main to dev
## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin.
<!-- .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.
---------
Co-authored-by: Igor Ilic <igorilic03@gmail.com>
## Description
/api/v1/responses
In this PR manages function calls
- search
- cognify
- prune
Next steps
- codify
## 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.
---------
Signed-off-by: Diego B Theuerkauf <diego.theuerkauf@tuebingen.mpg.de>
Co-authored-by: Hande <159312713+hande-k@users.noreply.github.com>
Co-authored-by: Vasilije <8619304+Vasilije1990@users.noreply.github.com>
Co-authored-by: Diego Baptista Theuerkauf <34717973+diegoabt@users.noreply.github.com>
Co-authored-by: Boris <boris@topoteretes.com>
Co-authored-by: Boris <borisarzentar@gmail.com>
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
<!-- .github/pull_request_template.md -->
## Description
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## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin.
<!-- .github/pull_request_template.md -->
## Description
As discussed with @hande-k and Lazar, I've created a short demo to
illustrate how to get the pagerank rankings from the knowledge graph
given the nx engine. This is a POC, and a first of step towards solving
#643 .
Please let me know what you think, and how to proceed from here. :)
## 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.
---------
Co-authored-by: Boris <boris@topoteretes.com>
Co-authored-by: Hande <159312713+hande-k@users.noreply.github.com>
Co-authored-by: Vasilije <8619304+Vasilije1990@users.noreply.github.com>
<!-- .github/pull_request_template.md -->
## Description
Delete by document.
## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin
<!-- .github/pull_request_template.md -->
## Description
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## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin.
Co-authored-by: Boris Arzentar <borisarzentar@gmail.com>
Reverts topoteretes/cognee#690
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
Resolve failing test for RAG_COMPLETION, add RAG_COMPLETION to MCP
## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin.
Co-authored-by: Boris <boris@topoteretes.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.
<!-- .github/pull_request_template.md -->
## Description
<!-- Provide a clear description of the changes in this PR -->
## 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
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## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin
<!-- .github/pull_request_template.md -->
## Description
Introducing scructlog.
## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin
<!-- .github/pull_request_template.md -->
## Description
<!-- Provide a clear description of the changes in this PR -->
## 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
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **Refactor**
- Simplified text processing by unifying multiple size-related
parameters into a single metric across chunking and extraction
functionalities.
- Streamlined logic for text segmentation by removing redundant
calculations and checks, resulting in a more consistent chunk management
process.
- **Chores**
- Removed the `modal` package as a dependency.
- **Documentation**
- Updated the README.md to include a new demo video link and clarified
default environment variable settings.
- Enhanced the CONTRIBUTING.md to improve clarity and engagement for
potential contributors.
- **Bug Fixes**
- Improved handling of sentence-ending punctuation in text processing to
include additional characters.
- **Version Update**
- Updated project version to 0.1.33 in the pyproject.toml file.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
<!-- .github/pull_request_template.md -->
## Description
This demo uses pydantic models and dlt to pull data from the Pokémon API
and structure it into a relational format. By feeding this structured
data into cognee, it makes searching across multiple tables easier and
more intuitive, thanks to the relational model.
## 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
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **New Features**
- Introduced a comprehensive Pokémon data processing pipeline, available
as both a Python script and an interactive Jupyter Notebook.
- Enabled asynchronous operations for efficient data collection and
querying, including an integrated search functionality.
- Improved error handling and data validation during the data fetching
and processing stages for a smoother user experience.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
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
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **Documentation**
- Updated the demo reference in the documentation by replacing an
embedded video thumbnail with a simplified "Learn about cognee" text
link.
- **Chores**
- Integrated a minor internal update to align a related data component
with the latest project state, with no visible impact on functionality.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
<!-- .github/pull_request_template.md -->
## Description
<!-- Provide a clear description of the changes in this PR -->
## 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
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **Chores**
- Removed an outdated internal tracking reference to streamline
maintenance.
- Upgraded a key dependency to its latest stable release, delivering
enhanced performance and reliability for a smoother user experience.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
<!-- .github/pull_request_template.md -->
## Description
Delete legacy search implementations after migrating to new retriever
classes
## 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
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **New Features**
- Enhanced search and retrieval capabilities, providing improved context
resolution for code queries, completions, summaries, and graph
connections.
- **Refactor**
- Shifted to a modular, object-oriented approach that consolidates query
logic and streamlines error management for a more robust and scalable
experience.
- **Bug Fixes**
- Improved error handling for unsupported search types and retrieval
operations.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
<!-- .github/pull_request_template.md -->
## Description
<!-- Provide a clear description of the changes in this PR -->
- Created the `BaseRetriever` class to unify all the retrievers and
searches.
- Implemented seven specialized retrievers (summaries, chunks,
completions, graph, graph-summary, insights, code) with consistent
get_context/get_completion interfaces.
- Added json context dumping feature in the current completion
implementations to enable context comparisons.
- Built a comparison framework to validate old vs new implementations.
## 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
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **New Features**
- Introduced multiple retrieval classes for enhanced search
capabilities, including `BaseRetriever`, `ChunksRetriever`,
`CodeRetriever`, `CompletionRetriever`, `GraphCompletionRetriever`,
`GraphSummaryCompletionRetriever`, `InsightsRetriever`, and
`SummariesRetriever`.
- Enhanced query completions with optional context saving for improved
data persistence.
- Implemented advanced tools to compare retrieval outcomes across
different implementations.
- **Refactor**
- Streamlined internal module organization and updated references for
increased maintainability and consistency.
- Added comments indicating future maintenance tasks related to code
merging.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
<!-- .github/pull_request_template.md -->
## Description
<!-- Provide a clear description of the changes in this PR -->
## 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
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## 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
<!-- Provide a clear description of the changes in this PR -->
## 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
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **New Features**
- Enhanced the task execution process by enabling default values for
certain parameters, allowing users to trigger task processing without
supplying every input explicitly.
- **Bug Fixes**
- Adjusted asynchronous handling for the `retrieved_edges_to_string`
function to ensure proper execution flow in various components.
- **Documentation**
- Updated markdown formatting in the Jupyter notebook for improved
readability and structure.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: hajdul88 <52442977+hajdul88@users.noreply.github.com>
<!-- .github/pull_request_template.md -->
## Description
GraphRAG vs RAG cognee notebook
## 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
- **Tests**
- Implemented automated validations to continuously monitor and ensure
the reliability of our interactive notebook features. These improvements
enhance overall stability and performance, enabling a more consistent
and dependable user experience.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: Boris <boris@topoteretes.com>
<!-- .github/pull_request_template.md -->
## Description
<!-- Provide a clear description of the changes in this PR -->
## 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
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **Chores**
- Improved automated testing setups to run across multiple operating
systems (Ubuntu and macOS) for Python 3.10, 3.11, and 3.12.
- Enhanced compatibility and coverage across diverse environments,
ensuring a more robust validation process.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: soekja <wes.hubert@gmail.com>
Co-authored-by: Boris <boris@topoteretes.com>
<!-- .github/pull_request_template.md -->
## Description
<!-- Provide a clear description of the changes in this PR -->
## 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
<!-- 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>
<!-- .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**
- Introduced enhanced visualization capabilities that let users launch a
dedicated server for visual displays.
- **Documentation**
- Updated several interactive notebooks to include execution outputs and
expanded explanatory content for better user guidance.
- **Style**
- Refined formatting and layout across notebooks to ensure consistent
presentation and improved readability.
<!-- 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
Change version to latest llama index cognee integration version which
has a proper fix for the failing notebook
## 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
- **Chores**
- Updated an AI integration dependency to version 0.1.3 in both the
testing workflow and the Jupyter notebook, ensuring that the environment
uses the latest version for improved consistency during tests.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
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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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 pipeline execution now provides consolidated status feedback
with improved telemetry for start, completion, and error events.
- Automatic generation of unique dataset identifiers offers clearer task
and pipeline run associations.
- **Refactor**
- Task execution has been streamlined with explicit parameter handling
for more structured pipeline processing.
- Interactive examples and demos now return results directly, making
integration and monitoring more accessible.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: Boris Arzentar <borisarzentar@gmail.com>
<!-- .github/pull_request_template.md -->
## Description
Notebook and python example for cognee simple example
## 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**
- Introduced an interactive demo showcasing asynchronous document
processing and querying for key insights from a sample text.
- **Documentation**
- Added an in-depth, step-by-step guide in a Jupyter Notebook that walks
users through setup, configuration, querying, and visualizing processed
data.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
<!-- .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**
• Graph visualizations now allow exporting to a user-specified file path
for more flexible output management.
• The text embedding process has been enhanced with an additional
tokenizer option for improved performance.
• A new `ExtendableDataPoint` class has been introduced for future
extensions.
• New JSON files for companies and individuals have been added to
facilitate testing and data processing.
- **Improvements**
• Search functionality now uses updated identifiers for more reliable
content retrieval.
• Metadata handling has been streamlined across various classes by
removing unnecessary type specifications.
• Enhanced serialization of properties in the Neo4j adapter for improved
handling of complex structures.
• The setup process for databases has been improved with a new
asynchronous setup function.
- **Chores**
• Dependency and configuration updates improve overall stability and
performance.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
<!-- .github/pull_request_template.md -->
## Description
Refactor search so query type doesn't need to be provided to make it
simpler for new users
## 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
- **Refactor**
- Improved the search interface by standardizing parameter usage with
explicit keyword arguments for specifying search types, enhancing
clarity and consistency.
- **Tests**
- Updated test cases and example integrations to align with the revised
search parameters, ensuring consistent behavior and reliable validation
of search outcomes.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
