Story Crater Bot
33eaf1b4f8
- 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
15 lines
455 B
Rust
15 lines
455 B
Rust
// Vector store tests now require PostgreSQL connection
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// See tests with database fixtures or use integration tests
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#[test]
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#[ignore]
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fn _vector_search_requires_database() {
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// VectorStore is now backed by PostgreSQL with pgvector extension
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// Tests require:
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// - Running CNPG cluster
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// - Database initialized with schema
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// - Connection pooling setup
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//
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// Use integration tests with database containers for full testing
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}
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