feat(knowledge-base): implement Knowledge Base MCP Server (#57)

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Implements RAG capabilities with pgvector for semantic search:

- Intelligent chunking strategies (code-aware, markdown-aware, text)
- Semantic search with vector similarity (HNSW index)
- Keyword search with PostgreSQL full-text search
- Hybrid search using Reciprocal Rank Fusion (RRF)
- Redis caching for embeddings
- Collection management (ingest, search, delete, stats)
- FastMCP tools: search_knowledge, ingest_content, delete_content,
  list_collections, get_collection_stats, update_document

Testing:
- 128 comprehensive tests covering all components
- 58% code coverage (database integration tests use mocks)
- Passes ruff linting and mypy type checking

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This commit is contained in:

Felipe Cardoso

2026-01-03 21:33:26 +01:00

parent 7453fbf26e

commit 20b07b4fa3

26 changed files with 9530 additions and 120 deletions

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