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## Description
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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
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## DCO Affirmation
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the terms of the Topoteretes Developer Certificate of Origin
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## 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.
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## 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
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## 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.
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<!-- .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
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## 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>
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## 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**
• 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
PR to test Gemini PR from holchan
1. Add Gemini LLM and Gemini Embedding support
2. Fix CodeGraph issue with chunks being bigger than maximum token value
3. Add Tokenizer adapters to CodeGraph
## 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**
- Added support for the Gemini LLM provider.
- Expanded LLM configuration options.
- Introduced a new GitHub Actions workflow for multimetric QA
evaluation.
- Added new environment variables for LLM and embedding configurations
across various workflows.
- **Bug Fixes**
- Improved error handling in various components.
- Updated tokenization and embedding processes.
- Removed warning related to missing `dict` method in data items.
- **Refactor**
- Simplified token extraction and decoding methods.
- Updated tokenizer interfaces.
- Removed deprecated dependencies.
- Enhanced retry logic and error handling in embedding processes.
- **Documentation**
- Updated configuration comments and settings.
- **Chores**
- Updated GitHub Actions workflows to accommodate new secrets and
environment variables.
- Modified evaluation parameters.
- Adjusted dependency management for optional libraries.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: holchan <61059652+holchan@users.noreply.github.com>
Co-authored-by: Boris <boris@topoteretes.com>
Currently TikToken is used for tokenizing by default which is only supported by OpenAI,
this is an initial commit in an attempt to add Cognee tokenizing support for multiple LLMs
Some SQL commands require lowercase characters in table names unless table name is wrapped in quotes. Renamed all new tables to use lowercase
Fix COG-677
