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List of vector databases
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Vector databases are specialized databases designed to efficiently store, search, and manage vector data. In this context, "vector" refers to mathematical representations of data, often in the form of high-dimensional arrays. These vectors are typically generated by machine learning models, especially in applications involving image, video, audio, and text data.
Vector databases are tailored for similarity search in high-dimensional spaces, which is a common requirement in many AI and machine learning applications. For example, in an image search application, images are transformed into high-dimensional vectors; a vector database can quickly find images similar to a given input image by comparing their vectors.
Key features of vector databases often include:
- Efficient Indexing: To handle high-dimensional vector data efficiently.
- Similarity Search: Capability to perform nearest neighbor search in high-dimensional spaces.
- Scalability: Ability to handle large datasets and scale horizontally.
- Integration with Machine Learning Models: Seamless integration with AI and ML models for generating and querying vector data.
List of Open Source Vector Databases
Here's a table summarizing some of the open-source vector databases, their typical use cases, and main features:
| Vector Database | Use Cases | Main Features | Official URL |
|---|---|---|---|
| Milvus | Image/Video Retrieval, Text Search, AI Applications | Scalable, supports various metrics, integrates with ML models | milvus.io |
| Faiss (Facebook AI) | Similarity Search, Clustering of Vectors | Efficient similarity search, clustering, mainly used as a library | faiss.ai |
| Pinecone | Similarity Search, Recommendation Systems | Scalable, easy integration with ML workflows | pinecone.io |
| Weaviate | Knowledge Graphs, Vector Search | GraphQL and RESTful APIs, ML model integration | weaviate.io |
| Vald | Large-scale Vector Search, AI Applications | Kubernetes-based scalability, high availability | vald.vdaas.org |
| Vespa | Big Data Processing, Machine-learned Model Inference | Scalable, supports vector similarity search and ML inference | vespa.ai |
| Qdrant | Complex Vector Search Queries | Flexible, high performance, consistent search results | qdrant.tech |
Each of these vector databases is tailored for specific use cases in AI, ML, and big data domains, offering unique features and capabilities. The provided URLs will direct you to their respective official websites for more detailed information and resources.