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
250 B
Plaintext
9 lines
250 B
Plaintext
ATOCORE_DEBUG=false
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ATOCORE_DATA_DIR=./data
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ATOCORE_HOST=127.0.0.1
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ATOCORE_PORT=8100
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ATOCORE_EMBEDDING_MODEL=sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
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ATOCORE_CHUNK_MAX_SIZE=800
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ATOCORE_CHUNK_OVERLAP=100
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ATOCORE_CONTEXT_BUDGET=3000
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