Guide
Build a Private AI Chatbot
Design a private AI chatbot with local inference, document retrieval, vector storage, and a usable chat interface.
Steps
- Define which documents and workflows the chatbot is allowed to access.
- Choose a model runtime such as Ollama or LM Studio.
- Pick a chat layer such as Open WebUI or AnythingLLM.
- Use a vector database or built-in retrieval feature for document search.
- Test answers against known source material before inviting more users.
FAQ
Do I need fine-tuning for a private chatbot?
Usually no. Start with retrieval over your documents. Fine-tuning is useful later when you need behavior changes that retrieval cannot solve.
What should I avoid putting in the first version?
Avoid broad permissions, write actions, and sensitive production systems until retrieval quality, logging, and access controls are reviewed.
Next steps
Use the model and tool directories to choose the concrete pieces for your local AI stack. Sponsor and affiliate placements will be added later.