Alternatives to Pinecone

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

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

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

Weaviate is an open-source AI database that combines vector search, hybrid search, and RAG with agent memory in one stack.

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

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

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

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

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

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

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

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

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

InterLock is a governed data-access proxy that authorizes, redacts, and audits every request AI agents make to production databases, files,

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

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

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

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

RushDB is a graph-native database for AI agents that introspects its own schema before every query.

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

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

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

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

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

Self-hosted DKG node software that gives AI agents shared, verifiable knowledge graph memory across platforms and models.

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

VectorRAG.Net is an embedded .NET vector search library for in-process RAG, semantic search, and ANN retrieval.

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

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

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