Ollama Example Project

This project demonstrates how to use gorag's OpenAI's API backend.

This code demonstrates using Ollama embeddings and generation models, along with how RAG overides LLM knowledge by changing an established fact, already learned from the LLMs dataset during the previous training. This provides insight into how RAG can be used to populate new knowledge context, post knowedge cut-off.

Should the demo work correctly, you will see the RAG Content, will claim the moon landings occured in 2023 (without RAG the LLM will state the correct date of 1969)

Setup

The two main objects needed for Ollama usage, are a generation model and embeddings model.

This demo uses mxbai-embed-large and llama3.

Usage

Run the main go file

go run examples/ollama/main.go