Retrieving Results From VectorDB Similarity Search
Description:
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.
End-to-End LLM Project: Langchain with Pinecone Vector Database