This repo discusses about the following:
- LangChain for Application Development We will discuss the following here:
- Models, Prompts and Parsers
- Memories for LLMs
- Chains
- Question Answering over Documents
- Agents
- LangChain: Chat with your data This delves into Retrieval Augmented Generation (RAG), a method to retrieve contextual documents from an external dataset. It also discusses how to build a chatbot or do question answering based on the content of a new documents for which the llm has not learned during training.
We will discuss the followng:
- Document Loading
- Document Splitting
- Vector Store and Embeddings
- Retrieval
- Question Answering
- Chat