AI Engineering Goes Visual part 2: Building an LLM RAG with PyFlyde & LangChain
Use Flyde to design and wire up LangChain, Vector Store, and Ollama or OpenAI API to perform Retrieval Augmented Generation
This part builds upon the Scraper app that we created in the part 1 and uses our visual programming skills to dive deeper in the LLM engineering world. This time we turn our article database into a RAG app, making use of LangChain, Vector Store and local LLaMA3 or OpenAI API.
