Features: - Vector search with Pinecone + Vertex AI embeddings - Document relationships (link, unlink, related, graph) - Auto-link with LLM analysis - Intelligent merge with Gemini Modular structure: - clients/: Pinecone, Vertex AI - tools/: core, relations, stats - utils/: validation, logging Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
20 lines
421 B
Plaintext
20 lines
421 B
Plaintext
# RAG MCP Server Configuration
|
|
# API keys stored in Vault (api/*)
|
|
|
|
# Vault: api/pinecone
|
|
PINECONE_API_KEY=your-pinecone-api-key
|
|
|
|
# Vault: api/vertex
|
|
VERTEX_API_KEY=your-vertex-api-key
|
|
GOOGLE_CLOUD_PROJECT=your-gcp-project-id
|
|
GOOGLE_CLOUD_LOCATION=us-central1
|
|
|
|
# Service Configuration
|
|
PINECONE_INDEX_NAME=memory-index
|
|
FASTMCP_HOST=0.0.0.0
|
|
FASTMCP_PORT=8000
|
|
|
|
# Auto-link settings
|
|
AUTO_LINK_THRESHOLD=0.75
|
|
AUTO_LINK_TOP_K=5
|