AI repos for RAG
Open-source AI projects built around RAG or genuinely useful if you work with it, each with what it does for you. 22 repos, most relevant first.
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PixelRAG Search PDFs and web pages as screenshot tiles so tables, charts and layout are not lost to text parsing.
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open-notebook Load PDFs, video, audio and web pages, then search and chat over them with your choice of model.
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WeKnora Build knowledge bases with RAG search and cited answers over your team's documents, self-hosted.
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qmd Index markdown notes and transcripts locally, then search by keyword, vector or hybrid with re-ranking.
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liteparse Parse PDFs and Office files locally into layout-aware Markdown or JSON with bounding boxes for ingestion.
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markitdown Convert PDFs, Office files, images and audio into Markdown to ingest into LLM retrieval pipelines.
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open-webui Document and web search built in for retrieval-augmented chat.
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crawl4ai Turn web pages into LLM-ready Markdown to feed retrieval pipelines.
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DeepTutor Build knowledge bases from your own documents and get answers with citations.
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OpenViking Run scoped search over layered summaries of resources instead of an opaque vector store.
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semantica Builds knowledge and context graphs from messy data to ground agents, alongside your vector store.
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claude-context A working agentic RAG pipeline for code: chunk, embed, store, and retrieve.
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firecrawl Feed live web content as clean markdown into retrieval pipelines and LLM apps.
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headroom Compresses RAG chunks, JSON and files before they reach the LLM to save context.
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hindsight
Store and search past interactions for retrieval into agent context, with Python, Node and Go clients.
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Vane Get web search results fed to an LLM for cited answers, with source and domain control.
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supermemory Use hybrid search over extracted memories and processed files to retrieve context for prompts.
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gbrain Retrieve cited answers from a typed knowledge graph instead of lists of pages.
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TencentDB-Agent-Memory Retrieve stored docs wiki and code-graph knowledge for agents.
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honcho Provides search and context retrieval over stored conversation history for any LLM.
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ODS Includes a ready local RAG setup alongside chat, so you can query your own documents privately.
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basic-memory
Provides semantic and hybrid search over your notes for retrieval by assistants.