Explore Data & AI Tools
Search and filter structured profiles for 322 data and AI technologies. Compare pricing, deployment models, architecture fit, public adoption signals, alternatives, and related stack components.
Search and filter structured profiles for 322 data and AI technologies. Compare pricing, deployment models, architecture fit, public adoption signals, alternatives, and related stack components.
Multi-model database with vector search capabilities — real-time key-value, document, and vector operations at massive scale with predictable low latency.
The AI-native open-source embedding database for LLM applications
Library for efficient similarity search and clustering of dense vectors, developed by Meta AI.
Build 10x faster with the first fully native Graph-Vector Database combining the power of graph and vector types natively in Rust to build RAG and AI applications easily
Build fast, reliable RAG, agents, and search engines with LanceDB— a multimodal vector database with native versioning and S3-compatible object storage.
Marqo optimises search conversion using click-stream, purchase and event data, creating a personalised experience that knows what your customers are looking for - better than they do.
Milvus is an open-source vector database built for GenAI applications. Install with pip, perform high-speed searches, and scale to tens of billions of vectors.
Native vector search in MongoDB Atlas — store embeddings alongside operational data, build RAG applications with $vectorSearch aggregation pipeline.
Open-source PostgreSQL extension for vector similarity search and embeddings storage.
Search through billions of items for similar matches to any object, in milliseconds. It’s the next generation of search, an API call away.
Qdrant is an Open-Source Vector Search Engine written in Rust. It provides fast and scalable vector similarity search service with convenient API.
Vector similarity search built into Redis — HNSW and FLAT indexing, hybrid queries combining vector search with Redis data structures, sub-millisecond latency.
serverless vector and full-text search built on object storage: fast, 10x cheaper, and extremely scalable
Highly scalable distributed vector search engine for approximate nearest neighbor search, designed for Kubernetes deployments.
Bring AI-native applications to life with less hallucination, data leakage, and vendor lock-in
Zilliz vector database management system - fully managed Milvus - supports billion-scale vector search and is trusted by over 10000 enterprise users.