amscotti / local-LLM-with-RAG

What it does

This project is an experimental sandbox for testing out ideas related to running local Large Language Models (LLMs) with Ollama and Pydantic AI to perform agentic Retrieval-Augmented Generation (RAG) for answering questions based on your documents. The agent can decide when and how to search documents, unlike fixed RAG pipelines. We use Ollama to create embeddings with nomic-embed-text stored in LanceDB for vector search.