Alternatives to Milvus

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

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

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

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

LanceDB is an open-source multimodal lakehouse that keeps curation, feature engineering, hybrid search, and training on one Lance table.

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

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

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

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

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

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

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

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

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

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

Weaviate is an open-source AI database for vector search, hybrid search, and RAG with built-in embeddings and agent memory.

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

Qdrant is an open-source vector search engine for filtered, hybrid vector search and RAG at scale.

Zilliz Cloud Serverless is a managed serverless vector database on Milvus, with auto-scaling compute and tiered storage for GenAI apps.

Self-hosted RAG search engine for private document search — BM25 plus hybrid retrieval across 34 file formats.

LitePali is a small open-source Python library for image-based document retrieval built on the ColPali architecture.

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

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

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

Open-source CLI that turns 18 source types into AI skills and RAG knowledge for 22 AI platforms.

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

Open-source Python framework that incrementally keeps AI agent context fresh by reprocessing only changed data.

Open-source, in-memory text vector database for .NET apps that adds semantic search and RAG without provisioning a vector server.

Xberg is an open-source content intelligence engine that extracts 107 document, web, code, image and audio formats into clean Markdown,