Chroma is a vector database designed to efficiently store, index, and retrieve high-dimensional vector data, often used in applications like machine learning, search engines, and recommendation systems. It focuses on enabling fast and scalable similarity searches among vectors, leveraging optimized data structures and algorithms to provide quick query responses, even in large-scale datasets.
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Deployment | Cloud / SaaS / Web-Based, On-Premise Linux, On-Premise Windows |
Support | Email/Help Desk, FAQs/Forum, Knowledge Base |
Training | Documentation |
Languages | English |
As it is a open source vector db and it allows complex range searches or querying. The community is growing day by day and can get support for issues.
The performance might not match with pinecone's performance in some scenarios.
It helps in storing high dimensional vectors. For finding duplicate records in document or article I'm using Chroma Vector Db to store the vectors.