This podcast serves as a guide for building a private, local AI assistant MVP by integrating several key technologies.
It explains GraphRAG, which enhances language model responses through knowledge graphs, and AutoGen (pyautogen) for managing collaborative AI agents.
The guide also details using Ollama to run large language models locally for privacy and cost savings, alongside Chainlit for creating interactive chat interfaces.
Ultimately, the text provides a step-by-step implementation, including setup, configuration, and potential use cases for a locally hosted AI superbot.
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🤖Local AI Superbot
This article serves as a guide for building a private, local AI assistant MVP by integrating several key technologies.
