Complete implementation of the personal context engine foundation: - FastAPI server with 5 endpoints (ingest, query, context/build, health, debug) - SQLite database with 5 tables (documents, chunks, memories, projects, interactions) - Heading-aware markdown chunker (800 char max, recursive splitting) - Multilingual embeddings via sentence-transformers (EN/FR) - ChromaDB vector store with cosine similarity retrieval - Context builder with project boosting, dedup, and budget enforcement - CLI scripts for batch ingestion and test prompt evaluation - 19 unit tests passing, 79% coverage - Validated on 482 real project files (8383 chunks, 0 errors) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
9 lines
174 B
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9 lines
174 B
Plaintext
fastapi>=0.110.0
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uvicorn[standard]>=0.27.0
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python-frontmatter>=1.1.0
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chromadb>=0.4.22
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sentence-transformers>=2.5.0
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pydantic>=2.6.0
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pydantic-settings>=2.1.0
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structlog>=24.1.0
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