Introduction to LangChain: Retrieval Augmented Generation

Sep 7, 2023
∙ Paid

Today, we dive into Retrieval Augmented Generation. This is a way to augment LLMs with additional data coming from a database. The data is first encoded into vectors, and they are stored in a vector database for fast retrieval. We are going to cover the following points:

  • Indexing the data in a local index and augmenting an LLM with it

  • Indexing the data in a Pinecone data and augmenting an LLM with it

  • Providing the data source when answering questions with LLMs

  • Indexing a website and using its data to augment an LLM

  • Indexing GitHub repo to ask questions about the code base

Below is the code used in the video!

Watch with a 7-day free trial

Subscribe to

The AiEdge Newsletter
to watch this video and get 7 days of free access to the full post archives.