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Build Conversational Agents with Vector DBs - LangChain

James Briggs via YouTube

Overview

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This course demonstrates how to combine conversational agents with retrieval augmentation to access fresh, domain-specific, or internal information when needed. It sets up a vector database pipeline with Pinecone and OpenAI models, then builds and uses the chatbot with LangChain.

Syllabus

LangChain Agents with Vector DBs
Code Setup and Data Prep
Vector DB Pipeline Setup
Indexing with OpenAI and Pinecone
Querying via LangChain
Building the Retrieval Augmented Chatbot
Using the Conversational Agent Chatbot
Real-world Usage of this Method

Taught by

James Briggs

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