A curated list of awesome vector databases for storing, managing, and searching high-dimensional data. This list includes open-source and commercial solutions, as well as databases that support different types of data and machine learning models.

Feb 7, 2024 · Qdrant (read: quadrant) is a vector similarity search engine. Use our documentation to develop a production-ready service with a convenient API to store, search, and manage vectors with an...

Jan 18, 2025 · Milvus is an open-source vector database that has quickly gained traction for its scalability, reliability, and performance. Designed for similarity search and AI-driven applications, it supports storing and querying massive embedding vectors generated by deep neural networks.

Apr 4, 2025 · Dive into our overview of the 17 most popular vector databases on the market to understand your options and pick the best tool for your project. What is a Vector Database? Vector databases first emerged a few years ago to power a new generation of search engines based on neural networks.

Apr 11, 2025 · Which are the best open-source vector-database projects in Python? This list will help you: llama_index, mem0, txtai, deeplake, deep-searcher, raptor, and SeaGOAT.

Apr 4, 2025 · With native support for multiple languages (Python, Java, Go, etc.) and integration with data pipelines like Kafka, Milvus also ensures seamless usability. As an open-source solution, Milvus is cost-effective for on-premise use, though large-scale deployments may require substantial resources.

Chroma is an open-source vector database designed for storing and retrieving vector embeddings efficiently, making it ideal for AI applications like semantic search and RAG implementations. Key Features. Simple integration: Installs with a single command and offers SDKs for Python, JavaScript, Ruby, PHP, and Java.

Apr 14, 2025 · Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database .

Open-source vector databases typically include the following features: Efficient indexing: Indexing mechanisms such as Approximate Nearest Neighbor (ANN) searches reduce the time required to find similar vector representations, useful for applications involving real-time data analysis.

Feb 8, 2024 · Vector databases have become an essential component in AI-powered applications for storing, indexing, and efficiently retrieving high-dimensional vectors used for machine learning and data analytics.