Vector Databases
- 01. Pinecone's vector database is fully-managed, developer-friendly, and easily scalable.
- 02. Weaviate is an open-source vector database. It allows you to store data objects and vector embeddings from your favorite ML-models, and scale seamlessly into billions of data objects.
- 03. Milvus - Store, index, and manage massive embedding vectors generated by deep neural networks and other machine learning (ML) models.
- 04. Vespa.ai is an AI Search Platform for developing and operating large-scale applications that combine big data, vector search, machine-learned ranking, and real-time inference
- 05. Redis Vector Database - Build intelligent, AI-powered applications with Redis Enterprise.
- 06. Qdrant is a vector database & vector similarity search engine. It deploys as an API service providing search for the nearest high-dimensional vectors.
- 07. SingleStoreDB delivers built-in similarity search on vectors to add memory for your generative AI applications.
- 08. Chroma - The AI-native open-source embedding database. Chroma makes it easy to build LLM apps by making knowledge, facts, and skills pluggable for LLMs.
- 09. YugabyteDB’s unique approach to vector indexing addresses the limitations of single-node PostgreSQL systems when dealing with large-scale vector datasets.
- 10. Vald - A Highly Scalable Distributed Vector Search Engine
- 11. Zilliz Cloud provides a fully-managed Milvus service, made by the creators of Milvus. It simplifies the deploying and scaling of vector search applications by eliminating the need to construct and maintain complex infrastructure.
- 12. Faiss (Facebook AI Similarity Search) is a library that allows developers to quickly search for embeddings of multimedia documents that are similar to each other.
- 13. LanceDB - Designed for Multimodal. Built for Scale. - From agents to models, from search to training, one platform for all your AI data and workloads