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Wednesday, April 10, 2024
RAG Application using Langchain Mistral AI and Weviate db #llm #rag #langchain #vector #mistral
I built a powerful Retrieval-Augmented Generation (RAG) pipeline using Langchain Mistral and Weviate db. In this video, you'll learn: What is RAG and why is it powerful? Understand the core concepts behind RAG and how it leverages retrieval and generation techniques. Setting up the toolbox: Discover the essential Python libraries you'll need to build your RAG pipeline. Integrating the LLM: Learn how to connect your RAG pipeline with an LLM of your choice, like Mistral 7B. Downlaod the Notes From Here: https://github.com/sunnysavita10/Indepth-GENAI/blob/main/RAG_Application_Using_LangChain_Mistral_and_Weviate.ipynb Click to subscribe & join the AI adventure! #rag #GoogleGemini #embedding #cosinefunction #Python #AI #MachineLearning #textgeneration #gemini #langchain #llamaindex #vector #pinecone #chromadb #langchain #faiss #vectordada #gpt #ragsystem Google Form : https://forms.gle/1Ut21yM2ednvpbS66 Connect with me on Social Media- LinkedIn : https://www.linkedin.com/in/sunny-savita/ GitHub : https://github.com/sunnysavita10 Telegram : https://t.me/aimldlds
Labels:
artifical intelligence,
deep learning,
Machine Learning,
mistral ai,
Natural Language Processing,
ragapplication,
ragpipeline,
retrieval system,
transformer,
vectordatabase
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