Alternatives to Weaviate

Open-source vector search engine for filtered hybrid retrieval at production scale

Chroma: open-source vector, full-text, regex and metadata search built on object storage.

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

pgvector adds vector similarity search to Postgres so embeddings live next to your relational data.

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

Open-source RAG engine with built-in ETL, hybrid search and visual AI agent orchestration

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

TiDB is a MySQL-compatible distributed SQL database that unifies agent memory, transactions, analytics, and vector search in one ACID

Milvus is the open-source vector database for GenAI, scaling similarity search from a pip install to billions of vectors

Self-hosted vector database for AI agent memory that runs on your own hardware, on-prem, air-gapped or at the edge.

MongoDB Atlas runs vector search, hybrid retrieval and reranking next to your operational data — no separate vector database.

LanceDB is an open-source multimodal lakehouse for vector search, curation, and training on one Lance table.

Moss delivers sub-10ms semantic search for voice agents and AI copilots, running in-process with no vector database.

Open-source, in-process vector database from Alibaba: install one package and query dense and sparse vectors locally.

Kronotop is an Apache 2.0 document database on FoundationDB that gives every tenant or AI agent its own namespace and vector search.

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

Vector and full-text search built on object storage — sub-10ms warm queries at roughly 10x lower cost than compute-based vector databases.

Meilisearch delivers typo-tolerant search-as-you-type in under 50ms, with hybrid vector and multimodal retrieval in one engine

In-memory graph database for GraphRAG, persistent AI agent memory, and real-time graph analytics on one engine.

CocoIndex is an open-source Python framework for incremental indexing that keeps AI agent context fresh by recomputing only changed data.

GPU-native database and memory layer that lets AI agents query multimodal data without leaving the GPU.

Open-source, self-hosted AI search and RAG chat you add to your site with one script tag

Embeddable RAG for Elixir and Phoenix — vector search, GraphRAG, and agentic retrieval inside your existing Ecto/Postgres repo.

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

TopK is a unified retrieval engine for hybrid multi-vector, dense, sparse, and regex search in a single query.

Airweave is a context retrieval layer that gives AI agents natural-language search over live data from your apps and databases.

NodeDB is a universal database engine fusing vector, graph, document, columnar, key-value, and full-text search in one SQL binary.

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

Embedbase is a single API that combines a semantic search vector store with LLM text generation.

Open embedding models for developers plus agentic drawing, code and submittal review for AEC firms