How to Create a Knowledge Base in AnythingLLM
Creating a knowledge base in AnythingLLM takes three steps: create a workspace, upload your documents, and embed them so the AI can search and answer questions directly from your content.
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Creating a knowledge base in AnythingLLM takes three steps: create a workspace, upload your documents, and embed them so the AI can search and answer questions directly from your content.
Connect Ollama to AnythingLLM to tell the application where to find your local models and which one to use. Without this step, the chat interface loads but cannot generate any
Set up AnythingLLM with Docker to get a self-hosted AI workspace that can ingest documents, run RAG queries, and connect to any local or cloud LLM all from a browser
A vector database is a database built to store, index, and search vector embeddings, numerical representations of meaning extracted from text, images, audio, or any other unstructured data. It is
AnythingLLM is an open-source application that lets you chat with your private documents using local AI entirely on your own hardware, with no cloud required. It takes the concept of
Open WebUI is a self-hosted web interface for interacting with large language models. It takes your local Ollama setup and wraps it in a polished browser-based interface that anyone can
Ollama is an open-source tool that lets you run powerful large language models directly on your own hardware, free, private, and fully offline. No cloud, no subscription, no data leaving