Allows users to tune search quality for their domain via environment variables:
- GRAPHITI_MIN_SIMILARITY_SCORE: Controls semantic search filtering (default 0.6)
- GRAPHITI_RERANKER_MIN_SCORE: Controls post-RRF filtering (default 0.0)
This enables users to optimize search precision/recall for their specific use case.
For example, technical documentation benefits from higher thresholds (0.8) to filter noise.
Updated the error and success responses in various functions to utilize structured response classes (ErrorResponse, SuccessResponse, FactSearchResponse, EpisodeSearchResponse, StatusResponse) for improved consistency and clarity. Incremented version in pyproject.toml to 0.2.1.
* update graphiti dep
* - Introduce SEMAPHORE_LIMIT environment variable in graphiti_mcp_server.py to manage concurrency and mitigate 429 rate limit errors.
- Document SEMAPHORE_LIMIT usage in README.md for better user guidance.
* Log the concurrency limit in Graphiti initialization for better visibility.
* Document SEMAPHORE_LIMIT environment variable in README.md to clarify its role in managing episode processing concurrency and handling 429 rate limit errors.
fix: ensure fact_embedding is removed from attributes in format_fact_result
This ensures that fact_embedding is completely cleaned from the result,
both from the main level and from the attributes dictionary.
Add small LLM model support and update README
- Introduced a new small LLM model configuration option (`SMALL_LLM_MODEL`) in `GraphitiLLMConfig`.
- Updated environment variable documentation to include `SMALL_MODEL_NAME`.
- Added command-line argument support for `--small-model` to override the small model name.
- Enhanced logging for small model configuration to improve user feedback.
These changes enhance flexibility in model selection for LLM operations.
* Refactor group_id handling and update dependencies
- Changed default behavior for `group_id` to 'default' instead of generating a UUID.
- Updated README to reflect the new default behavior for `--group-id`.
- Reformatted LLMConfig initialization for better readability.
- Bumped versions of several dependencies including `azure-core`, `azure-identity`, `certifi`, `charset-normalizer`, `sse-starlette`, and `typing-inspection`.
- Added `python-multipart` as a new dependency.
This update improves usability and ensures compatibility with the latest library versions.
* Update Graphiti MCP server instructions and refactor method names for clarity
- Revised the welcome message to enhance clarity about Graphiti's functionality.
- Renamed methods for better understanding: `add_episode` to `add_memory`, `search_nodes` to `search_memory_nodes`, `search_facts` to `search_memory_facts`, and updated related docstrings to reflect these changes.
- Updated references to "knowledge graph" to "graph memory" for consistency throughout the codebase.
* Update README for Graphiti MCP server configuration and integration with Claude Desktop
- Changed server name from "graphiti" to "graphiti-memory" in configuration examples for clarity.
- Added instructions for running the Graphiti MCP server using Docker.
- Included detailed steps for integrating Claude Desktop with the Graphiti MCP server, including optional installation of `mcp-remote`.
- Enhanced overall documentation to improve user experience and understanding of the setup process.
* Enhance error handling in GeminiEmbedder and GeminiClient
- Added checks to raise exceptions when no embeddings or response text are returned, improving robustness.
- Included type ignore comments for mypy compatibility in embed_content calls.
* Update graphiti_core/embedder/gemini.py
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
* Update graphiti_core/llm_client/gemini_client.py
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
---------
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
* add azure open ai dependency
* update readme
* Create support for azure open ai endpoints
* fix: formatting
---------
Co-authored-by: paulpaliychuk <pavlo.paliychuk.ca@gmail.com>
* Bump version from 0.9.0 to 0.9.1 in pyproject.toml and update google-genai dependency to >=0.1.0
* Bump version from 0.9.1 to 0.9.2 in pyproject.toml
* Update google-genai dependency version to >=0.8.0 in pyproject.toml
* loc file
* Update pyproject.toml to version 0.9.3, restructure dependencies, and modify author format. Remove outdated Google API key note from README.md.
* upgrade poetry and ruff
