2026 Лучшие инструменты: Векторная база данных

M

MongoDB

Векторная база данных

MongoDB — современная платформа данных на базе MongoDB Atlas для разработки приложений и рабочих нагрузок в продакшене.

S

SingleStore

Analytics & BI

A real-time database for transactional, analytical, and AI-driven applications.

S

SurrealDB

Инфраструктура для ИИ-агентов

SurrealDB — мультимодельный контекстный слой для AI-агентов, объединяющий документные, графовые, векторные, временные и реляционные данные в одной транзакции ACID.

P

ParadeDB

Векторная база данных

ParadeDB добавляет в PostgreSQL поиск, векторный поиск и агрегации.

M

MyScale

Векторная база данных

MyScale queries vector and structured data with SQL. Build similarity and filtered retrieval over embeddings and metadata on a managed cloud cluster.

S

Spice AI

Векторная база данных

Открытый движок SQL-запросов и гибридного поиска для ресурсоёмких приложений и AI-агентов без ETL.

P

Powabase

Инфраструктура для ИИ-агентов

A Postgres backend for AI applications with built-in retrieval, agents, auth, and storage.

D

Ducky

AI Поисковик

Ducky — полностью управляемая платформа AI-поиска и retrieval для создания функций продуктов с RAG по тексту, изображениям, PDF и структурированным данным.

V

Vespa.ai

AI Поисковик

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.

S

SereneDB

Векторная база данных

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.

R

Redis

Векторная база данных

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.

U

Upstash Vector

Векторная база данных

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.

P

pgvector

Векторная база данных

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.

O

OpenSearch

AI Поисковик

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.

W

Weaviate

Векторная база данных

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.

S

Supabase

Векторная база данных

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.

T

turbopuffer

AI Поисковик

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.