End-to-End LLM Project: Langchain with Pinecone Vector Database

Create an end-to-end LLM project using Langchain and Pinecone vector database in this comprehensive 36-minute tutorial. Learn how to set up the project, understand the architecture, read and process data, convert information into chunks and vectors, initialize and insert data into the vector database, and retrieve results using similarity search. Follow along with provided timestamps and access the complete project code on GitHub for hands-on practice in building high-performance AI applications with long-term memory capabilities.

Introduction To LLM Project
Setting up LLM Project
LLM Project Architecture
LLM Project Read the Data
Convert Data Into chunk And create vectors
Creating,Initializing,Inserting In Vectordb
Retrieving Results From VectorDB Similarity Search