local-ai-platform/db/migrations
Brandon Wolfgang c2b47e7645 feat: complete Phase 3 retrieval-augmented generation pipeline
- 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
2026-10-22 15:17:02 -05:00
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001_create_documents.sql feat: complete Phase 3 retrieval-augmented generation pipeline 2026-10-22 15:17:02 -05:00
002_add-document-source-metadata.sql feat: complete Phase 3 retrieval-augmented generation pipeline 2026-10-22 15:17:02 -05:00