ベクトルデータベース
ベクトルデータベースで埋め込みを保存・インデックス化し、意味検索、推薦システム、RAGパイプラインやAIアプリを構築できます。
AIインフラ
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Vespa.ai
AI検索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.

pgvector
ベクトルデータベース
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.

Weaviate
ベクトルデータベース
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.
Supabase
ベクトルデータベース
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.

Elasticsearch
AIオブザーバビリティ
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.




