Elasticsearch (Vector Search)
VisitElasticsearch adds vector search capabilities to its renowned search engine, enabling semantic search and RAG architectures.
16 companies in this category
Elasticsearch adds vector search capabilities to its renowned search engine, enabling semantic search and RAG architectures.
DataStax Astra DB is a multi-cloud database-as-a-service, offering a vector database capability built on Apache Cassandra.
Pinecone provides a managed vector database service designed to power AI applications by making it easy to add vector search to production applications.
Pinecone offers a proprietary vector database service designed for building, retrieving, and scaling AI applications.
Labelbox offers a training data platform for machine learning teams to build and ship AI products, combining annotation, data management, and model evaluation.
Milvus is an open-source vector database built for scalable similarity search.
Weaviate is an open-source vector database that allows developers to store data objects and vector embeddings with a semantic search functionality.
Zilliz is the company behind Milvus, an open-source vector database, and offers Zilliz Cloud, a fully managed service for large-scale vector search.
Qdrant is an open-source vector similarity search engine and vector database for the next generation of AI applications.
Chroma is an AI-native open-source embedding database that makes it easy to build LLM applications.
Superb AI provides an end-to-end data platform for building and managing AI datasets, including annotation, automation, and model-centric approaches.
Gretel AI provides an API for generating synthetic data, allowing developers to create privacy-preserving, high-quality datasets for AI development.
Activeloop developed Deep Lake, a multi-modal data lake for deep learning applications, optimized for AI model training and streaming data to GPUs.
Vald is a highly scalable distributed vector search engine for the cloud-native environment.
Superlogic provides an AI-native knowledge graph platform, integrating vector embeddings for advanced RAG and graph-based AI.
Faiss is a library for efficient similarity search and clustering of dense vectors, developed by Facebook AI Research.