Alternatives / Pinecone
Looking for an open source Pinecone alternative? We compared 9 open source vector databases and related tools by license, scale, deployment, and maintenance. Milvus, Qdrant, Weaviate, and Chroma are the main vector databases, while Mem0 and Laminar solve adjacent problems.
Written by Maxime DERAME
Last updated:
| Alternative | Best for | License |
|---|---|---|
| Mem0 | Persistent agent memory (not a general vector DB) | Apache-2.0 |
| Milvus | Very large-scale similarity search | Apache-2.0 |
| Qdrant | Rust vector database with compression | Apache-2.0 |
| Chroma | Simple vector database for RAG | Apache-2.0 |
| Typesense | Typo-tolerant search with vector support | GPL-3.0 |
| Weaviate | Hybrid search with model integrations | BSD-3-Clause + Weaviate License |
| Deep Lake (Activeloop) | Multimodal ML data lake | Apache-2.0 |
| HelixDB | Graph plus vector search in Rust | Apache-2.0 |
| Laminar | Tracing and evals (not a database) | Apache-2.0 |
We looked for open-source databases that store embeddings and run similarity search like Pinecone. We verified each project's license, recent activity, stars, and self-hosting in its repository, and flag the entries that are not vector databases. See our methodology for the full criteria.
Qdrant is a Rust vector database with compression options and cloud-native scaling, and Milvus targets very large scale with Lite, Standalone, and distributed modes. Weaviate adds hybrid search and built-in model integrations, and Chroma is the simplest to start with.
Mem0 is a memory layer for agents, Laminar is an observability platform, and Typesense is a search engine that added vector search. Activeloop's Deep Lake is aimed at ML data workflows, and HelixDB is a graph database with vector search.
Weaviate is mostly BSD-3-Clause with parts under the Weaviate License. Typesense is GPL-3.0. Managed clouds from Milvus, Qdrant, Weaviate, and Chroma are paid.
Mem0, Milvus, Qdrant, Chroma, Activeloop, HelixDB, and Laminar are Apache-2.0. Typesense is GPL-3.0. Weaviate is BSD-3-Clause plus the Weaviate License.
All except Activeloop had commits within days of this update. Deep Lake's last commit was in May 2026.
Pinecone is a proprietary managed service, so your embeddings live in its cloud and pricing grows with storage and queries. Open-source vector databases can run on your own infrastructure, avoid vendor lock-in, and be tuned for your workload, at the cost of operating the cluster.
Mem0 is an Apache-2.0 memory layer that stores and retrieves context across AI agent sessions, with Python and Node.js SDKs and a managed API or self-hosted option. It is a memory component, not a framework for building agents or a general vector database.
Pricing: Free to self-host; managed platform is paid.
Milvus is an Apache-2.0 vector database built for similarity search at large scale, with Lite, Standalone, and distributed deployment modes. It integrates with LangChain and LlamaIndex and can be self-hosted or used through the managed Zilliz Cloud.
Pricing: Free to self-host; managed Zilliz Cloud is paid.
Qdrant is an Apache-2.0 vector database with similarity search, metadata filtering, hybrid retrieval, quantization, APIs, Docker deployment, and RAG integrations.
Pricing: Free and self-hostable under Apache-2.0; managed cloud may be paid.
Chroma is an Apache-2.0 vector database for embeddings, retrieval, and RAG, with a simple Python and JavaScript API and metadata filtering. It runs locally during development or as a server or managed cloud in production.
Pricing: Free to self-host; managed cloud is paid.
Typesense is a GPL-3.0 search engine that is fast and typo tolerant and runs as a single binary, with vector search added. It is positioned as an alternative to Algolia and Pinecone, and is a search engine more than a pure vector database.
Pricing: Free to self-host; Typesense Cloud is paid.
Weaviate is an open-source vector database that stores objects and vectors and combines vector search with keyword filters. Its source is mostly BSD-3-Clause, with parts under the Weaviate License, and it is offered as open source, managed, or in your own cloud.
Pricing: Free to self-host; managed cloud is paid.
Deep Lake by Activeloop is an Apache-2.0 data layer for AI that stores multimodal data such as images, audio, and embeddings and supports vector search, versioning, and streaming to ML frameworks. The last commit was in May 2026.
Pricing: Free open-source core; hosted platform is paid.
HelixDB is an Apache-2.0 OLTP graph database written in Rust with native vector and full-text search, running on object storage. It combines graph traversal with vector search, and its speed figures are the vendor's own.
Pricing: Free to self-host; managed deployment is paid.
Laminar is an Apache-2.0 observability platform for AI agents that collects traces and supports online evaluations and datasets. It can be self-hosted and is not a vector database or an agent framework.
Pricing: Free to self-host; managed cloud is paid.
| Alternative | Type | License | Self-hosted | Best for |
|---|---|---|---|---|
| Mem0 | Memory layer | Apache-2.0 | Yes | Agent memory |
| Milvus | Vector database | Apache-2.0 | Yes | Large deployments |
| Qdrant | Vector database | Apache-2.0 | Yes | General vector search |
| Chroma | Vector database | Apache-2.0 | Yes | Prototypes and small apps |
| Typesense | Search engine | GPL-3.0 | Yes | App search |
| Weaviate | Vector database | BSD-3-Clause + Weaviate License | Yes | Hybrid search |
| Deep Lake (Activeloop) | AI data platform | Apache-2.0 | Yes | ML data workflows |
| HelixDB | Graph database | Apache-2.0 | Yes | Graph-vector workloads |
| Laminar | Observability | Apache-2.0 | Yes | Agent observability |
Want a general-purpose vector database
Qdrant is Apache-2.0, built in Rust, with compression and cloud-native scaling.
Want to scale to very large datasets
Milvus offers Lite, Standalone, and distributed modes for large-scale similarity search.
Want the simplest start for RAG
Chroma has a simple Python and JavaScript API and runs locally or in production.
Want hybrid vector and keyword search
Weaviate combines vector search with keyword filters and built-in model modules.