c2b47e7645
- Add document ingestion with text chunking, embedding generation, and PostgreSQL persistence - Configure PostgreSQL with pgvector, document schemas, and database migrations - Implement semantic search using Ollama embeddings and pgvector cosine similarity - Add POST /documents, POST /search, and POST /ask endpoints with validation and sanitized error handling - Generate context-grounded answers with source attribution - Filter retrieved chunks using a minimum similarity threshold of 0.5 and return fallback responses when no relevant context is available - Add unit and integration tests for ingestion, search, question answering, validation, and failure handling - Update README with Phase 3 capabilities, setup instructions, and API documentation
19 lines
456 B
YAML
19 lines
456 B
YAML
services:
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db:
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image: pgvector/pgvector:pg17
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environment:
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POSTGRES_DB: local_ai
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POSTGRES_USER: app
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POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:?Set POSTGRES_PASSWORD in .env}
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ports:
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- "127.0.0.1:5432:5432"
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volumes:
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- postgres_data:/var/lib/postgresql/data
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healthcheck:
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test: ["CMD-SHELL", "pg_isready -U app -d local_ai"]
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interval: 5s
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timeout: 5s
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retries: 10
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volumes:
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postgres_data:
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