saige

Build streaming LLM agent loops in Go with typed deltas, tool execution, context compaction, sub-agent delegation, and RLHF feedback. Use when building AI agents, integrating LLM providers, or implementing tool-use patterns.

Build and query knowledge graphs with PostgreSQL + pgvector. Ingest episodes, extract entities/relations via LLM, and search facts by semantic similarity or keyword. Use when working with knowledge graphs, entity extraction, or graph storage.

Build multi-modal RAG pipelines with graph-enhanced retrieval in Go using saige/rag. Covers chunking, multi-retriever fusion, reranking, HyDE, evaluation metrics, and PostgreSQL + pgvector storage.