Building Multimodal RAG Application #5: Multimodal Retrieval from Vector Stores

Multimodal RAG combines textual and visual data to improve the retrieval process, enhancing the accuracy and detail of large language models. This guide covers setting up multimodal retrieval using the LanceDB vector database, highlighting installation, configuration, and ingestion of text and image data using LangChain. It concludes with a practical walkthrough for performing efficient multimodal searches.