Overview
Let’s look at some open-source vector databases in this tutorial. A vector database is a specialized database designed, to efficiently store, retrieve, and perform operations on multi-dimensional vector data.
Vectors are arrays of numeric values or other data types with fixed lengths representing points or elements in multi-dimensional space. They can be used to represent various data, such as numerical features, text or image embeddings, geographic coordinates, or any other data that can be represented as vectors.
Open-source vector databases
Some open-source vector databases are as follows:
- Milvus
- Weaviate
- Pgvector
- QDrant
- ChromaDB
Milvus
Milvus is the world’s most advanced open-source cloud-native vector database, built for developing and maintaining AI applications. It is the most popular vector database for enterprise users.
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Weaviate
Weaviate is an open-source AI Native Vector Database that allows you to store data objects and vector embeddings from your preferred ML models, and scale seamlessly into billions of data objects.
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QDrant
QDRant is a vector database that is open-source and specifically designed for efficient storage and retrieval of high-dimensional data. It is tailored to meet the needs of the next generation of AI applications by utilizing advanced vector similarity search technology that delivers high performance.
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