It's ease of access, especially the way it allows to create and store embeddings, and retrieve them to do similarity search or RAG. Review collected by and hosted on G2.com.

If compare to other vectorstore like FAISS, ChromaDB sometimes struggle to integrate with Langchain and as it doesn't display the created index clearly like FAISS, we can't even see how the embeddings are created apart from directly call them via code. Review collected by and hosted on G2.com.