RAG Using LangChain

Discover what you need for Retrieval Augmented Generation (RAG) implementation, understand the RAG system and subsystems, and learn how to implement RAG using LangChain.

Query Transformations

Using a Knowledge Graph to implement a DevOps RAG application

GenAI Stack Walkthrough: Build With Neo4j, LangChain & Ollama in

LangChain: Retrieval (RAG) and Loaders

Era of Text Generation: RAG, LangChain, and Vector Databases

Multimodal RAG using Langchain Expression Language And GPT4-Vision, by Plaban Nayak

Building a RAG application from scratch using Python, LangChain, and the OpenAI API

ChatGPT for Document Retrieval: LangChain RAG (with code!), by Filip Knyszewski

Create Local RAG (Retrieval Augmented Generation)

Retrieval-Augmented Generation (RAG) using LangChain and Pinecone

Harnessing LangChain for RAG-Enhanced Private GPT - SAP Community

Generative AI, Retrieval Augmented Generation (RAG), and Langchain - Cisco Community

Learn how LangChain and RAG make language models smarter., Pavan Belagatti posted on the topic

Introducing the Docugami KG-RAG Template for LangChain: Better Results than OpenAI Assistants

Extract Metadata using Langchain, GPT-4 and Retrieval-augmented