AI, privacy
Local RAG Base
Self-hosted retrieval for sensitive documents without sending files to third-party LLM providers.
Challenge
Privacy-conscious organizations need intelligent search over sensitive documents but cannot risk data leaks to public clouds.
Solution
A local-first retrieval-augmented generation (RAG) system where PDFs remain on-device or within a private VPC. The platform utilizes Ollama for embeddings and Chroma for local vector storage, with a user interface that handles document ingestion, chunking, and cited querying.
Impact
A secure, air-gapped knowledge base that runs entirely on local hardware, available as a source kit on Gumroad.
Next.jsOllamaChromaDBLangChainTypeScript
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