How to Build a Multimodal RAG Pipeline with LangChain & Unstructured Library
This video is a tutorial on how to build Multimodal RAG pipeline using LangChain and Unstructured library.
This tutorial explains how you can build Multimodal RAG (Retrieval-Augmented Generation) pipeline using LangChain for PDF documents by using the Unstructured library.
🔍What You’ll Learn:
• How to set up and install the Unstructured library.
• How to build a Multimodal RAG pipeline using LangChain for PDF processing.
• Step-by-step instructions to connect your RAG pipeline to an LLM for advanced document analysis.
0:00 - Intro
00:28 - Set up & Installation
06:17 - Data Extraction from PDF
14:56 - Data Summarization
20:49 - Create Multi-vector Retriever & add data to vectorstore
28:08 - Build RAG Pipeline
🔴 Subscribe for more tips just like this: / @codetops
----------------------------------------------------------------
Download Poppler
https://github.com/oschwartz10612/pop...
----------------------------------------------------------------
Download Tesseract
https://github.com/UB-Mannheim/tesser...
----------------------------------------------------------------
OpenAI API
https://platform.openai.com/
#RAG #Multimodal RAG #LangChain #AI #MachineLearning #LangChainTutorial #Python #Chatbot #LLMs #OpenAI #GPT4