Chatbots with RAG: LangChain Full Walkthrough скачать в хорошем качестве

Chatbots with RAG: LangChain Full Walkthrough

In this video, we work through building a chatbot using Retrieval Augmented Generation (RAG) from start to finish. We use OpenAI's gpt-3.5-turbo Large Language Model (LLM) as the "engine", we implement it with LangChain's ChatOpenAI class, use OpenAI's text-embedding-ada-002 for embedding, and the Pinecone vector database as our knowledge base. 📌 Code: https://github.com/pinecone-io/exampl... 🌟 Build Better Agents + RAG: https://platform.aurelio.ai (use "JBMARCH2025" coupon code for $20 free credits) 👾 Discord:   / discord   Twitter:   / jamescalam   LinkedIn:   / jamescalam   00:00 Chatbots with RAG 00:59 RAG Pipeline 02:35 Hallucinations in LLMs 04:08 LangChain ChatOpenAI Chatbot 09:11 Reducing LLM Hallucinations 13:37 Adding Context to Prompts 17:47 Building the Vector Database 25:14 Adding RAG to Chatbot 28:52 Testing the RAG Chatbot 32:56 Important Notes when using RAG #artificialintelligence #nlp #ai #langchain #openai #vectordb