Learning from ChatGPT

#4088 Small Specialize Language Model / RAG Framework Builder #4088  Provide a python framework for: 1) given a user-specified [SUBJECT], 2) mine one or more LLMs for [SUBJECT] data, 3) generate one or more useful RAG documents to contain the mine data, and 4) provide the RAG framework to utilize this specialized data To build a system that "mines" an LLM to create a specialized knowledge base for RAG, you are essentially building a Synthetic Knowledge Pipeline . This approach is useful for extracting structured expertise from a general-purpose model (like GPT-4o or Claude 3.5) to power a smaller, specialized RAG system. Below is a Python framework using LangChain and ChromaDB to achieve this. 1. The Strategy: "Mining" the LLM Since an LLM cannot "dump" its brain, we use a recursive topic-expansion strategy. We start with a [SUBJECT], ask for a taxonomy of sub-topics, and then generate detailed "technical briefs" for each. 2. Implementation Fra...