OpenAI GPT/ Opensource LLM chatbot on private data

In this project, we aim to develop an advanced question-answering bot that leverages the power of OpenAI GPT/Opensource LLMs and combines it with the Langchain framework and Pinecone DB to provide accurate answers using private data not indexed by pretrained models. Our solution incorporates the Langchain framework to enrich each model call with relevant context, resulting in better outcomes without the need for model fine-tuning. To make the most of private data, we will employ Pinecone DB , and its approximate nearest neighbor (ANN) search capabilities for efficient text indexing and retrieval of similar contexts. By combining these technologies, the question-answering bot will be able to provide more precise answers without fine-tuning, taking advantage of the vector similarity and vector database to enhance the context length of each query. This cutting-edge solution is perfect for businesses looking to harness the power of AI for efficient and accurate information retrieval using their unique, private data.