53295444de
Features: - Fixed Ollama configuration for native (localhost) instead of Docker - Increased LLM timeout from 30s to 120s for quality answers - Implemented KB slug system for clean MCP endpoint URLs - Added multiple knowledge base support with type metadata - Integrated MCP server with FastAPI (port 8051) - React frontend with KB management UI - PostgreSQL + pgvector for vector embeddings Performance: - 33-56% faster than Docker setup with native Ollama - Direct Metal GPU acceleration on Apple Silicon - Optimized RAG engine with caching - ~40s response time for comprehensive answers Documentation: - Complete native setup guide (README_NATIVE_SETUP.md) - Performance benchmarking and comparison - MCP endpoint documentation - Slug implementation details - Decision rationale for native vs Docker Cleanup: - Removed old Streamlit setup files - Consolidated setup scripts to single setup_native.sh - Consolidated service management scripts - Removed test artifacts and old analysis docs - Ready for sharing with team 🚀 Production-ready for local team deployment 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
36 lines
657 B
Text
36 lines
657 B
Text
# LlamaIndex and RAG
|
|
llama-index>=0.10.0
|
|
llama-index-llms-ollama>=0.1.0
|
|
llama-index-embeddings-ollama>=0.1.0
|
|
llama-index-vector-stores-postgres>=0.1.0
|
|
|
|
# Vector Database
|
|
psycopg2-binary>=2.9.9
|
|
pgvector>=0.2.0
|
|
sqlalchemy>=2.0.0
|
|
numpy>=1.24.0
|
|
|
|
# Document Processing
|
|
pymupdf>=1.23.0
|
|
|
|
# Reranking and Hybrid Search
|
|
sentence-transformers>=2.2.0
|
|
rank-bm25>=0.2.2
|
|
|
|
# MCP Server
|
|
mcp>=1.0.0
|
|
fastapi>=0.104.0
|
|
uvicorn>=0.24.0
|
|
pydantic>=2.0.0
|
|
|
|
# Utilities
|
|
python-dotenv>=1.0.0
|
|
requests>=2.31.0
|
|
|
|
# Testing
|
|
pytest>=7.4.0
|
|
pytest-asyncio>=0.21.0
|
|
pytest-cov>=4.1.0
|
|
pytest-mock>=3.12.0
|
|
httpx>=0.25.0 # For testing FastAPI endpoints
|
|
faker>=20.0.0 # For generating test data
|