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AnythingLLM — Document AI / Private RAG

<h4>Talk to your documents — locally</h4> <p>Upload PDFs, Word docs, Markdown, YouTube transcripts. AnythingLLM chunks, embeds, stores in vector DB, lets you chat with the corpus. Works with OpenAI, Anthropic, or local Ollama.</p> <h5>What you get</h5> <ul> <li>AnythingLLM latest (multi-user with workspaces)</li> <li>Built-in vector DB (LanceDB) — no setup needed</li> <li>Document support: PDF, DOCX, TXT, MD, YouTube, websites, GitHub repos</li> <li>Bring your own LLM key OR connect to a kawkav Ollama instance</li> </ul> <h5>Tech specs</h5> <p>4 vCPU · 4 GB RAM · 20 GB SSD · Ubuntu 24.04 LXC · mintplexlabs/anythingllm</p>
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AnythingLLM — Document AI / Private RAG

<h4>Talk to your documents — locally</h4> <p>Upload PDFs, Word docs, Markdown, YouTube transcripts. AnythingLLM chunks, embeds, stores in vector DB, lets you chat with the corpus. Works with OpenAI, Anthropic, or local Ollama.</p> <h5>What you get</h5> <ul> <li>AnythingLLM latest (multi-user with workspaces)</li> <li>Built-in vector DB (LanceDB) — no setup needed</li> <li>Document support: PDF, DOCX, TXT, MD, YouTube, websites, GitHub repos</li> <li>Bring your own LLM key OR connect to a kawkav Ollama instance</li> </ul> <h5>Tech specs</h5> <p>4 vCPU · 4 GB RAM · 20 GB SSD · Ubuntu 24.04 LXC · mintplexlabs/anythingllm</p>
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