Alternatives to Zilliz Cloud Serverless

Zilliz Cloud: a fully managed vector database on Milvus for billion-scale AI search, RAG, and recommendations.

Pinecone is a managed vector database and knowledge engine for RAG, semantic search, and agent retrieval.

Milvus is an open-source vector database for billion-scale similarity search, hybrid retrieval, and lake-native RAG workloads

Neon is serverless Postgres with instant branching, autoscaling, and a full backend agents can provision.

Apache 2.0 search infrastructure for AI that keeps vectors, indexes and metadata on cheap object storage.

TiDB is a distributed SQL database for AI agents that unifies ACID transactions, HTAP analytics, and native vector search in one engine.

Elasticsearch Labs: free tutorials, notebooks, and reference apps for AI search, vector search, and RAG on Elasticsearch.

Databend is an open-source, cloud-native data warehouse in Rust that runs BI analytics, vector search, full-text search and geospatial on

Open-source in-process vector database from Alibaba — install one Python package, query millions of vectors in seconds.

NodeDB is a universal database engine that unifies vector, graph, document, columnar, key-value, full-text, sparse arrays, and CRDT in one binary over plain

AI-native graph database running vector similarity and OpenCypher traversal in one query for GraphRAG pipelines.

Powabase is a managed Postgres backend for AI apps with RAG, agents, and workflows built in.

Open-source context retrieval layer that syncs your apps and databases so AI agents query live business data in natural language.

Kronotop is a distributed transactional document database that gives every AI agent or tenant its own namespace with built-in vector search.

MongoDB Atlas stores vector embeddings next to operational data, so RAG apps skip the sync pipeline.

Open-source RAG engine with built-in ETL, hybrid vector/BM25 search and visual agent orchestration for enterprise AI agents.

Vespa is an open-source AI search platform for hybrid vector, text, and tensor retrieval with machine-learned ranking.

pgvector brings open-source vector similarity search to Postgres so embeddings live next to your relational data.

Vespa AI is an open-source AI search platform for hybrid vector, text and structured retrieval with ML ranking in one query pass.

Apache Doris unifies OLAP analytics, full-text search, and vector search in one open-source SQL engine.

Lance is an open lakehouse format for multimodal AI, pairing a file format, table format, and catalog spec with hybrid vector and full-text search on object

Memgraph is an in-memory graph database for GraphRAG, AI memory, and real-time graph analytics on one engine.

Free MIT-licensed web admin UI for the Chroma embedding database, built with Next.js

InterLock is a proxy that authorizes, redacts, and audits every request your AI agents make to production databases, files, and APIs.

Deeplake is a GPU-native database and memory layer for AI agent workloads, built by Activeloop.

TopK is a unified retrieval engine that runs multi-vector, dense, sparse, regex, and metadata-filtered search in one query, billed per unit of usage.

Open-source wire protocol suite that standardizes LLM, vector, graph, and embedding calls so you swap providers in config, not code

RushDB: graph and vector persistent memory for AI agents, where you push JSON and query one connected graph.

Multimodal retrieval that indexes video, image, audio and PDF files straight from your S3, GCS or R2 bucket.

Open-source Microsoft Research RAG that builds a knowledge graph and community summaries from your documents, then queries them in four modes.