Best AI tools for vector databases

Managed vector database for production-scale similarity search.

Hybrid vector + keyword search in the enterprise-grade Elasticsearch engine

Generative AI and RAG built into the Snowflake data cloud

Serverless vector and document database for production RAG and AI agents

Vector search built into the operational database you're already using.

Open-source vector DB with hybrid search and modules.

Open-source feature store that serves consistent features to ML training and online inference, with RAG vector search built in.

Open-source multimodal lakehouse and vector database built for AI training and retrieval at petabyte scale.

Yahoo's open-source search engine with vector + sparse retrieval.

Embedded, developer-friendly vector store for Python.

Managed hybrid vector search that lives inside the Databricks lakehouse and auto-syncs with your source tables.

Agent-as-a-Service platform with managed RAG and a no-code builder for vertical enterprise AI.

Open-source graph-memory layer that gives AI agents persistent, queryable context across sessions.

PostgreSQL extension that runs embeddings, vector search, and LLM inference inside your database.

Managed Postgres with pgvector on dedicated NVMe, pitched as a cheaper RAG backend than Pinecone or Supabase.

Unified graph-and-vector database built for AI agent memory and GraphRAG.

AI-native Firebase alternative bundling document DB, vector DB, auth, storage, and built-in AI services.

Enterprise data platform for deploying private RAG pipelines without infrastructure plumbing.

Rust-powered vector index with 2-4 bit TurboQuant compression for SIMD-accelerated RAG search.

The open-source columnar database powering real-time analytics — and, increasingly, LLM observability and RAG backends.

Open-source, lightning-fast search engine with built-in hybrid and vector search for RAG

Interactive maps and embeddings for unstructured text, image, and multimodal data.

Open-source Firebase alternative built on Postgres with a first-class pgvector AI toolkit.

AI-native distributed SQL database with built-in vector search, agent memory, and RAG pipelines

Fast search on object storage

Enterprise agent platform with built-in retrieval, grounding, and hallucination controls