Vector Database

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MongoDB

Vector Database

MongoDB is a modern data platform powered by MongoDB Atlas for application development and production workloads.

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SurrealDB

Vector Database

SurrealDB is a multi-model context layer for AI agents, combining documents, graphs, vectors, time-series, and relational data in one ACID transaction.

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ParadeDB

Vector Database

ParadeDB adds search, vector retrieval, and aggregations to PostgreSQL.

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Spice AI

Vector Database

Open-source SQL query and hybrid search engine for data-intensive apps and AI agents, with zero ETL.

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Powabase

AI Agent Infrastructure

Backend platform for AI apps with Postgres, auth, storage, realtime, retrieval, and agents

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Ducky

AI Search Engine

Ducky is a fully managed AI search and retrieval platform for developers building RAG-powered product features across text, images, PDFs, and structured data.

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Vespa.ai

AI Search API

Vespa is an AI search platform for building search, retrieval-augmented generation, recommendation, personalization, and agent applications over text, vectors, tensors, and structured data. It is designed for developer teams that need configurable ranking and distributed operation at production scale.

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SereneDB

Vector Database

SereneDB is a search-OLAP database for real-time full-text, vector, hybrid search, and analytical queries over the same data. It uses SQL and the PostgreSQL wire protocol, helping developers connect with familiar clients while keeping search and analytics in one engine.

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Redis

Vector Database

Redis is a real-time data platform and database for applications, with Redis Cloud providing a fully managed deployment on major public cloud services. It supports application data, caching, search, and AI-oriented workflows through Redis and Redis Stack.

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Upstash Vector

Vector Database

Upstash Vector is a serverless vector database for storing and querying embeddings and metadata in AI and machine-learning applications. It supports dense, sparse, and hybrid indexes through a REST API and SDKs for Python, TypeScript, Go, and PHP.

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pgvector

Vector Database

pgvector is an open-source PostgreSQL extension for storing vectors and running exact or approximate nearest-neighbor searches alongside relational data. It supports multiple vector formats, distance functions, and standard PostgreSQL operations for applications that need similarity search.

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MongoDB Vector Search

AI Search API

MongoDB Vector Search lets developers store and search vector embeddings alongside operational data in MongoDB Atlas. It supports semantic, hybrid, recommendation, anomaly-detection, and conversational AI applications.

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OpenSearch

AI Observability

OpenSearch is a community-driven, Apache 2.0-licensed open source search and analytics suite for ingesting, searching, visualizing, and analyzing data. It supports application search, observability, security analytics, and machine learning workflows.

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Cloudflare Vectorize

Vector Database

Cloudflare Vectorize is a vector database for storing and retrieving vector embeddings in applications such as retrieval-augmented generation and semantic search. It runs within the Cloudflare Workers platform and supports vector lookups at the edge.

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Weaviate

Vector Database

Weaviate is a vector database for building AI-native applications, including retrieval-augmented generation systems. It helps developers store and retrieve vector data, connect applications to language models, and deploy the database in a managed, self-hosted, or private-cloud environment.

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Supabase

Vector Database

Supabase is a Postgres development platform for building applications with a database, authentication, APIs, realtime features, serverless functions, storage, and vector support. It helps developers move from application code to a managed backend through a dashboard, client libraries, CLI, and generated APIs.

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IBM DataStax

AI Agent Infrastructure

IBM DataStax brings Astra DB, Hyper-converged Database (HCD) and Langflow into the watsonx portfolio to help enterprises manage real-time, unstructured and multimodal data for AI applications. It supports AI workloads across on-premises, hybrid and multicloud environments.

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turbopuffer

AI Search API

turbopuffer is an object-storage-native search engine for vector, full-text, hybrid, and regex search. It helps AI, search, and data teams retrieve content from large document collections with filtering, ranking, and scalable namespace-based storage.

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Elasticsearch

AI Observability

Elasticsearch is a distributed, RESTful search and analytics engine for storing, retrieving, and analyzing structured, unstructured, time-series, geospatial, and vector data. It supports search applications, observability, security analytics, and AI retrieval workflows across managed cloud and self-managed deployments.