Vector Databases as Memory for your AI Agents
LLM Persistence with Pinecone, Chroma, and LangChain
Published in
10 min readApr 13, 2023
Follow the Money…
As interest rates have risen, venture funding has subsided over the past year. With the era of “free money” seemingly over, it’s always in your best interest to see where the “smart money” is investing.
Pinecone: “$28M to Bring Search into the AI Age” — March 29, 2022
LangChain: “Announcing our $10M seed round led by Benchmark” — April 4, 2023
Chroma: “Chroma raises $18M seed round” — April 6, 2023
In this post, we will look into:
- What is Vector Data?
- What are Vector Databases?
- How to integrate Vector Databases using Python
- A Comparison of Pinecone, Chroma, and LangChain
- A preview of what’s next for LLM-based AI Agent development
Database Evolution — from Relational to Vector
The evolution of data management has seen a shift from relational (SQL) databases, which are designed for structured data and rely on fixed schemas, to NoSQL databases, which offer more flexibility in handling unstructured or semi-structured data…
