Databases for RAG & AI memory

Open-source retrieval database for AI apps, from embedded Python to serverless Chroma Cloud.

Cloud-native, distributed open-source vector database built for billions of vectors.

The standard Postgres extension for vector similarity search with HNSW and IVFFlat indexes.

Rust vector search engine with rich payload filtering, quantization and a managed cloud.

Open-source AI-native vector database with hybrid search, modules for embeddings and multi-tenancy.

Dependency-free SQLite extension for vector search that runs anywhere SQLite does, including WASM.

Embedded, serverless retrieval database on the Lance columnar format for multimodal AI data.

Serverless vector and full-text search on object storage, priced for billions of documents.

Google Cloud's managed ANN service built on ScaNN, now part of Gemini Enterprise Agent Platform.

Fully managed serverless vector database with built-in embedding, reranking and assistants.

End-to-end tensor search engine that embeds text and images for you, built on Vespa.

AI-native C++ database for hybrid search over dense, sparse, multi-vector (tensor) and full text.

TigerData's Postgres extension adding StreamingDiskANN indexes on top of pgvector.

Disk-friendly Postgres vector extension using IVF + RaBitQ, the successor to pgvecto.rs.

Activeloop's tensor-native data engine for AI: vectors, multimodal data and versioning on object storage.

Enterprise RAG and agent platform with managed hybrid retrieval, reranking and hallucination scoring.

C++ vector database using parallel graph traversal; vendor now focuses on an agent platform.

Postgres vector extension built on USearch HNSW; development has stalled since late 2024.

KX's vector database for time-aware AI search, with temporal similarity and hybrid retrieval.

Distributed vector database from DataJaguar that also handles time series and geospatial data.

Vector storage and similarity queries built into S3, trading latency for very low cost at scale.

Globally distributed serverless vector index for Cloudflare Workers and Workers AI.

Fully managed Milvus from its creators, with serverless, dedicated and BYOC deployments.

Lucene-based distributed search and analytics engine for text, vectors, logs and metrics.

Apache-licensed, foundation-governed fork of Elasticsearch for search, vectors and observability.

Open-source Postgres backend platform: database, auth, storage, realtime and edge functions in one project.

The original Lucene search server: battle-tested, Apache-governed, now with GPU-accelerated vectors.

Microsoft's managed search service for full-text, vector, hybrid and agentic retrieval on Azure.

Developer-friendly Rust search engine with typo tolerance and built-in hybrid semantic search.

Serverless Postgres with copy-on-write branching and scale-to-zero, now part of Databricks.

In-memory, typo-tolerant search engine in C++ with vector, hybrid and conversational search.

Low-latency graph database using sparse matrices, the maintained successor to RedisGraph.

Reactive TypeScript backend with a transactional document database, server functions and live queries.

Elasticsearch-quality BM25 search and fast aggregations inside Postgres via the pg_search extension.

Big-data serving engine for search, recommendation and RAG with tensors and ML ranking.

Tiny TypeScript full-text, vector and hybrid search engine for browsers, servers and the edge.

Lisp-built RDF and document knowledge graph with vector store, reasoning and LLM agents.

Standards-compliant RDF triplestore with reasoning, connectors and MCP support for GraphRAG.

Rust graph-vector database on object storage, queried through typed SDKs for AI apps.

Enterprise knowledge-graph platform: RDF store, reasoning and virtual graphs over your sources.

Serverless Cassandra-as-a-service with vector search and a JSON Data API, now owned by IBM.

Serverless Postgres that makes tenants a first-class primitive, with per-tenant isolation and placement.

Immutable RDF graph database with time travel, git-style branching, SPARQL, JSON-LD and Cypher.

Microsoft's managed community PostgreSQL, with zone-redundant HA, DiskANN vectors and Citus elastic clusters.

Memory-optimized AWS graph engine for fast algorithms, openCypher and vector search over large graphs.

FactNexus's commercial graph DBMS that treats whole graphs as transactional units for knowledge graphs.

Packaged enterprise search and RAG platform built on OpenSearch, with crawlers, connectors and hybrid search.

The in-memory data structure server that became the default cache, now with search, JSON and vectors built in.

The default property-graph database, with Cypher, a big ecosystem and a managed cloud.

The enterprise heavyweight: RAC, Data Guard and a converged engine for SQL, JSON, graph and vectors.

Microsoft's globally distributed, multi-API NoSQL and vector database with SLA-backed latency.

Native multi-model database: documents, graphs, search and vectors behind one query language.

Rust multi-model database (documents, graph, vectors, live queries) that runs embedded, in WASM or clustered.

In-memory, Cypher-compatible graph database in C++ for streaming and real-time graph workloads.

Enterprise multi-model database for XML, JSON and RDF with built-in search and semantic RAG.

Community-maintained continuation of Kùzu: embedded columnar graph database with Cypher.

MongoDB's own multi-cloud DBaaS, bundling search, vector search and stream processing.

AWS's managed graph database speaking Gremlin, openCypher and SPARQL on shared storage.

Multi-model data platform (SQL, objects, globals, vectors) with built-in interoperability, big in healthcare.

Apache graph database from Baidu with Gremlin and Cypher, pluggable backends and a distributed store.

MIT-licensed, MongoDB-compatible document engine built as PostgreSQL extensions, run by the Linux Foundation.

Google's Postgres-compatible service with disaggregated storage, a columnar engine and ScaNN vectors.

Redis Ltd.'s own managed Redis on AWS, Azure and GCP, with Active-Active geo-replication and tiering.

Databricks' serverless Postgres built on Neon tech, with branching and sync to Delta tables in Unity Catalog.

Oracle's managed MySQL with an in-memory columnar engine for analytics, lakehouse, ML and vector search.

Microsoft's managed Redis built on Redis Enterprise, replacing the retiring Azure Cache for Redis.

Microsoft's managed MongoDB-compatible service, built on the open-source DocumentDB engine.

Chinese native distributed graph database for HTAP graph workloads in banking and energy.

Self-driving Oracle Database on Exadata: auto-patching, auto-scaling, and Select AI, on OCI and other clouds.

Commercial distributed graph database marketed as built natively for ISO GQL.