Top 5 Vector database - Part 1

1. Chroma

Chroma is the open-source embedding database. Chroma makes it easy to build LLM apps by making knowledge, facts, and skills pluggable for LLMs

Key Features:

Feature-rich: queries, filtering, density estimates, and many other features

LangChain (Python and JavScript), LlamaIndex, support available

The same API that runs in Python notebook scales to the production cluster

2. Pinecone

Pinecone is a managed vector database platform that has been purpose-built to tackle the unique challenges associated with high-dimensional data. Equipped with cutting-edge indexing and search capabilities, Pinecone empowers data engineers and data scientists to construct and implement large-scale machine learning applications that effectively process and analyze high-dimensional data. Key features of Pinecone include :

• Fully managed service
• Highly scalable
• Real-time data ingestion
• Low-latency search
• Integration with LangChain