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LangChainBasics

This repo discusses about the following:

  1. LangChain for Application Development We will discuss the following here:
  • Models, Prompts and Parsers
  • Memories for LLMs
  • Chains
  • Question Answering over Documents
  • Agents
  1. 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

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