Distributed NoSQL database with vector search capabilities via Storage-Attached Indexes (SAI) in Cassandra 5.0+. Uses Lucene HNSW for approximate nearest neighbor search. This is an OSS database under Apache 2.0 license.

A compact and efficient pre-trained sentence embedding model, widely used for generating vector representations of text. It's a popular choice for applications requiring fast and accurate semantic search, often integrated with vector databases.

Vector database optimized for knowledge bases and AI applications.

Managed vector database and search engine optimized for AI applications with multimodal search capabilities.

Vector search extension for Meilisearch engine, supporting hybrid lexical+vector search with BM25 fusion, k-NN similarity. Ideal for enterprise semantic search, RAG, and recommendations. Integrated vs standalone like Weaviate: developer-friendly with typo-tolerant full-text but lighter scale for massive vectors.

frugal is an open-source, self-hosted platform for AI/ML operations with vector database support, focusing on cost optimization and transparency. Key features include model-agnostic tracking, alerting, caching, and free use. Useful for RAG prototypes monitoring costs, self-hosted alternative to managed services like Pinecone for reduced expenses.