API or serverResearch and knowledge
skald
Build configurable RAG search and chat inside your own infrastructure.
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- Updated Jul 13, 2026
Build configurable RAG search and chat inside your own infrastructure.
Skald packages document ingestion, chunking, embeddings, vector storage, retrieval, and cited chat behind a configurable API. Teams can tune search, reranking, models, and query rewriting, then evaluate the resulting RAG setup through the same platform and access it from several language SDKs. It can run as a hosted service or through Docker in your own environment; a fully local deployment also requires self-hosted LLM inference and embeddings.
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Build multimodal search, RAG, and deep research over your own knowledge base.
Search and score websites by how usable they are for AI agents
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Public GitHub facts last synced Jul 14, 2026.
Run and share interactive Go notebooks in Jupyter or nteract.
Evaluate LLM agents across diverse interactive environments and tasks.