Build Conversational Agents with Vector DBs - LangChain

Learn how to build powerful conversational agents by combining vector databases and LangChain in this 19-minute tutorial. Explore the integration of retrieval augmentation tools with chatbots to overcome challenges like data freshness and domain-specific knowledge. Follow along as the video demonstrates code setup, data preparation, vector database pipeline creation, indexing with OpenAI and Pinecone, and querying through LangChain. Discover the process of constructing a retrieval-augmented chatbot and witness its practical application. Gain insights into real-world usage scenarios for this innovative approach to conversational AI.

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