Vectors

In this module, you will:

• Use vector indexes with LangChain to perform similarity search.
• Update the LangChain agent to use a RAGiFull definition for retrieval-augmented generation (opens in a new tab)Fetching relevant context from an external data source as additional context to inform a language model's response. based vector retrieveriFull definition for retriever (opens in a new tab)A component that searches a data source and returns the information relevant to a query. Often used to provide context for a language model..
• Create a GraphRAGiFull definition for GraphRAG (opens in a new tab)Retrieval-augmented generation whose context comes from a knowledge graph, so the model can follow the relationships between facts. retriever that uses data from the graph to enhance retrieval results.

If you are ready, let's get going!