LangChain v1 XML Agents - Building Conversational AI with Claude 2.1, Cohere, and Pinecone

Explore the creation of a conversational agent using LangChain v1 XML Agents in this 20-minute tutorial video. Learn to integrate Anthropic's Claude 2.1, Cohere's Embed v3, and Pinecone Serverless to build a sophisticated AI assistant. Discover how to implement conversational memory and define the agent using LangChain Expression Language (LCEL). Follow along as the video covers LangChain agent types, Python setup, working with the AI ArXiv 2 dataset, building an index with Cohere and Pinecone, constructing a LangChain XML Agent, and adding conversation memory. Gain practical insights into advanced AI development techniques and enhance your skills in creating intelligent conversational systems.

LangChain v1 XML Agents
LangChain Agent Types
LangChain Python Setup
AI ArXiv 2 Dataset
Building Index with Cohere and Pinecone
Building a LangChain XML Agent
Giving our Agent Conversation Memory
XML Agents Conclusion