Главная
Study mode:
on
1
LangChain Agents with Vector DBs
2
Code Setup and Data Prep
3
Vector DB Pipeline Setup
4
Indexing with OpenAI and Pinecone
5
Querying via LangChain
6
Building the Retrieval Augmented Chatbot
7
Using the Conversational Agent Chatbot
8
Real-world Usage of this Method
Description:
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.

Build Conversational Agents with Vector DBs - LangChain

James Briggs
Add to list
0:00 / 0:00