Locally run RAG pipeline with Verba and Llama3 using Ollama

AI Impact Summary

This guide details a local RAG pipeline utilizing Verba, Ollama, and Llama3, offering a self-contained solution for running LLM applications without external dependencies. The setup involves embedding data with Snowflake Arctic Embed and using Llama3 for inference, all orchestrated through Verba's frontend and backend. This approach provides a robust, offline RAG solution, particularly beneficial for prototyping and experimentation with smaller datasets, though it highlights potential limitations with Embedded Weaviate's data capacity.