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.

LangChain on X: ⭐️Multi-modal RAG w/ GPT-4V ⭐️ A picture is worth 1000 words, but images are typically invisible in RAG apps. Multi-modal LLMs like GPT-4V unlock RAG apps that use images.

DEMO: Langchain + RAG Demo on LlaMa-2–7b + Embeddings Model using Chainlit, by Madhur Prashant

RAG, Llama2, Langchain in the Wonderland of LLMs

LangChain: Retrieval (RAG) and Loaders

Retrieval Augmented Generation (RAG) Using Azure And Langchain Tutorial - Pragnakalp Techlabs: AI, NLP, Chatbot, Python Development

Build Q&A App With Rag Using Langchain & OpenAI

Build your own RAG and run it locally: Langchain + Ollama + Streamlit

Building Advanced RAG Applications Using FalkorDB, LangChain, Diffbot API, and OpenAI, by Akriti Upadhyay

Harnessing Retrieval Augmented Generation With Langchain, by Amogh Agastya

Evaluating Naive RAG and Advanced RAG pipeline using langchain v.0.1.0 and RAGAS, by Plaban Nayak, Feb, 2024

Implementing RAG with KDB.AI and LangChain

Harnessing Retrieval Augmented Generation With Langchain, by Amogh Agastya

Using Pinecone for Retrieval Augmented Generation (RAG)

Building a Multi-Modal RAG Pipeline with Langchain - Analytics Vidhya

Retrieval-Augmented Generation (RAG) using LangChain and LlamaIndex, by Prasad Mahamulkar, Feb, 2024