Prompt engineering, the method of crafting instructions for large language models (LLMs) to get the desired response, can be complex. This article outlines an approach using Retrieval Augmented Generation (RAG) to simplify prompt engineering and create more effective LLMs. READ ARTICLE
GraphRAG, a novel approach developed by Microsoft Research, significantly improves the ability of Large Language Models (LLMs) to analyze and answer questions about unseen data (private datasets). This is achieved by using LLMs to create knowledge graphs from the data, which are then leveraged to enhance the retrieval and generation…
The main takeaway is that the best LLMs framework to use depends on your specific project goals, resources, and constraints - building your own gives full control but requires more time and technical skill, OpenAI provides quick and easy access but less customization, Langchain balances customization and ease of use,…