feat: implement full pipeline (pgvector, embeddings, ingest, query, HTTP)

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- Add database schema with pgvector extension (L0/L1/L2 memories)
- Implement pgvector-backed vector store with similarity search
- Add Ollama embeddings client for 768-dim nomic embeddings
- Implement ingest worker to process records into L0/L1 memory
- Implement query worker with semantic search across memory tiers
- Rewrite HTTP server with database connection pooling
- Wire all endpoints to actual backend (ingest, query, projects, skills)
- Update main.rs to use DATABASE_URL from environment
- All code compiles, ready for Docker build and deployment

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Story Crater Bot

2026-08-23 18:32:24 -07:00

parent b5f77cbc3f

commit 33eaf1b4f8

17 changed files with 2191 additions and 237 deletions

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