Add a Claude/Anthropic-driven graph construction engine as a drop-in
alternative to the Zep-based one. Each text chunk is sent to Claude
with a tool-use schema derived from the generated ontology, extracting
only entities/relationships explicitly grounded in the text and
merging them into a local JSON graph store. Same service interface and
graph data shape as the Zep engine, so the existing D3 visualization
works unmodified.
- backend/app/services/claude_graph_builder.py: Claude extraction agent
- backend/app/models/graph_store.py: local JSON graph persistence
- backend/app/api/graph.py: engine selection (claude/zep) on build/data/delete routes
- frontend: Claude/Zep engine toggle on the Graph Build step, defaults to Claude
- config, requirements, locales, README/.env.example updated accordingly
- Deleted docker-compose.yml, backend Dockerfile, frontend Dockerfile, and nginx configuration to streamline project setup.
- Updated .env.example to reorganize LLM and ZEP API configurations for clarity and ease of use.
- Enhanced README.md to reflect changes in project structure and provide clearer setup instructions.
- Updated .env.example to reflect new LLM configuration with Aliyun's API.
- Enhanced .gitignore to include additional files and directories for better exclusion of sensitive and build artifacts.
- Added docker-compose.yml for streamlined deployment of backend and frontend services.
- Introduced Dockerfiles for both backend and frontend to facilitate containerized builds.
- Created README.md to provide comprehensive project documentation and setup instructions.
- Established nginx configuration for frontend to support API proxying and static file serving.
- Updated .env.example to include new keys for dual LLM configuration, allowing for both general and boost settings.
- Modified create_model function to support an optional use_boost parameter, enabling the selection of either general or boost LLM configurations based on availability.
- Improved logging to indicate which LLM configuration is being used during model creation, enhancing clarity for users.
Claude
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