- 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
8 lines
166 B
Rust
8 lines
166 B
Rust
pub mod chat;
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pub mod rerank;
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pub mod embeddings;
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pub use chat::{ChatClient, Completion, Usage};
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pub use rerank::RerankClient;
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pub use embeddings::EmbeddingsClient;
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