Introduction to Vector Stores and Embeddings with LangChain

In this post, we explore vector stores and embeddings, which are crucial components for building chatbots and performing semantic search on data corpora. Workflow Recall the entire workflow of Retrieval Augmented Generation (RAG): We start with documents, create smaller splits of these documents, generate embeddings for these splits, and store ...

Posted on Sun, 17 May 2026 07:35:31 +0000 by rallen102