New LangChain XML Agents

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Semantic Search Topic Vector Similarity Search Technique Vector Search Technique Anthropic Company Retrieval Augmented Generation Technique LangChain Agents Use Case Pinecone Vector Database Tool RAG LangChain Topic LangChain Tool AI Engineer Role Developers Audience Intermediate Level LangChain Demo Format Python Tool
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In this video, we learn how to use LangChain v1 XML Agents by building a conversational agent using Anthropic's Claude 2.1, Cohere's Embed v3, and Pinecone Serverless! We'll be adding conversational memory to our XML agent, and defining the agent itself using LangChain Expression Language (LCEL). 📌 Code: https://github.com/pinecone-io/examples/blob/master/learn/generation/langchain/v1/xml-agents.ipynb 🌲 Subscribe for Latest Articles and Videos: https://www.pinecone.io/newsletter-signup/ 👋🏼 AI Consulting: https://aurelio.ai 👾 Discord: https://discord.gg/c5QtDB9RAP Twitter: https://twitter.com/jamescalam LinkedIn: https://www.linkedin.com/in/jamescalam/ 00:00 LangChain v1 XML Agents 00:36 LangChain Agent Types 02:13 LangChain Python Setup 02:43 AI ArXiv 2 Dataset 04:34 Building Index with Cohere and Pinecone 08:37 Building a LangChain XML Agent 15:19 Giving our Agent Conversation Memory 19:21 XML Agents Conclusion #langchain #ai #artificialintelligence #nlp #chatbot

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Makers residency 4th edition
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Makers residency 4th edition
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