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## Description
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## DCO Affirmation
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---------
Co-authored-by: lxobr <122801072+lxobr@users.noreply.github.com>
Co-authored-by: Boris <boris@topoteretes.com>
Co-authored-by: Boris Arzentar <borisarzentar@gmail.com>
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## Description
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## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin.
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## Description
Delete by document.
## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin
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## Description
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- Extracted run_tasks_base function into a new file run_tasks_base.py.
- Extracted four executors that execute core logic based on the task
type.
- Extracted a task handler/wrapper that safely executes the core logic
with logging and telemetry.
- Fixed the inconsistency with the batches of size 1.
## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin.
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## Description
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- Fixed get_no_summary_tasks and get_just_chunks_tasks to work with the
new tasks and pipelines
- Chore: fixed the pokemon example to work with the new tasks and
pipelines
## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin.
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## Description
Remove outdated nodejs example, add specific versioning for mcp
## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin.
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## Description
- Redirect all Cognee output to stderr for MCP ( as stdout is used to
communicate between MCP Client and server )
- Add test for CODE search type
- Resolve missing optional GUI dependency
## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin.
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## Description
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## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin
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## Description
Add ability to migrate relational database to graph database
## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin
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## Description
Adds ontology demo 2
## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin
---------
Co-authored-by: Igor Ilic <30923996+dexters1@users.noreply.github.com>
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## Description
Introducing scructlog.
## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin
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## Description
Temporarily remove embedding env variables for code graph action so the
action can run
## 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
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## Summary by CodeRabbit
- **Chores**
- Removed legacy secret configuration from the testing workflow to
streamline the CI process and enhance maintainability.
- **Improvements**
- Updated the argument name in the code graph pipeline for clarity.
- Enhanced the handling of results in the example script to support
asynchronous processing.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
<!-- .github/pull_request_template.md -->
## Description
This PR contains the ontology feature integrated into cognify
## 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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## Summary by CodeRabbit
- **New Features**
- Enhanced ontology management with the introduction of the
`OntologyResolver` class for improved data handling and querying.
- Expanded ontology framework now provides enriched coverage of
technology and automotive domains, including new entities and
relationships.
- Updated entity models now include a validation flag to support
improved data integrity.
- Added support for specifying an ontology file path in relevant
functions to enhance flexibility.
- **Refactor**
- Streamlined integration of ontology processing across data extraction
and workflow routines.
- **Chores**
- Updated project dependencies to include `owlready2` for advanced
ontology functionality.
- **Tests**
- Introduced a new test suite for the `OntologyResolver` class to
validate its functionality under various conditions.
<!-- 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
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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**
- 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
<!-- Provide a clear description of the changes in this PR -->
- Refactored `brute_force_triplet_search`, extracting memory projection.
- Built **TripletSearchContextProvider** (extends
**BaseContextProvider**) to create a single memory projection and
perform a triplet search for each entity.
- Refactored `entity_completion` into **EntityCompletionRetriever**
(extends **BaseRetriever**).
- Added **SummarizedTripletSearchContextProvider** (extends
**TripletSearchContextProvider**) for an alternative summarized output
format.
- Developed and tested an example showcasing both context providers,
comparing raw triplets, summaries, and standard search results.
## 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 text summarization now delivers clearer, more concise
overviews of search results.
- Improved search performance with optimized context retrieval and
memory reuse for faster, more reliable results.
- Introduced advanced entity-based completion for generating more
relevant, context-aware responses.
- **Refactor**
- Streamlined internal workflows and error handling to ensure a smoother
overall experience.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: Boris <boris@topoteretes.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
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
- **New Features**
- Introduced a new analytic capability that calculates descriptive graph
metrics for pipeline runs when enabled.
- Updated the execution flow to include an option for activating the
graph metrics step.
- **Chores**
- Removed the previous mechanism for storing descriptive metrics to
streamline the system.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: Igor Ilic <30923996+dexters1@users.noreply.github.com>
Co-authored-by: Boris <boris@topoteretes.com>
<!-- .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**
- 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
<!-- 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
Refactor search so query type doesn't need to be provided to make it
simpler for new users
## 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**
- 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 -->
