Best Free Vector Databases in 2026
11 free and open-source vector databases ordered by their Public Evidence Score. Free access filters this page; it cannot make a tool eligible to rank.
7 open-source · 4 with free tiers · Evidence as of November 9, 2026
Free Vector Databases at a Glance
| # | Tool | Ranking Score | License | Paid Plans |
|---|---|---|---|---|
| 1 | Qdrant Qdrant is an Open-Source Vector Search Engine written in Rust. It provides fast and scalable vector similarity search service with convenient API. | Ranking Score 63 | Free tier | Free tier |
| 2 | Milvus Milvus is an open-source vector database built for GenAI applications. Install with pip, perform high-speed searches, and scale to tens of billions of vectors. | Ranking Score 60 | Free (open source) | Free (open source) |
| 3 | pgvector Open-source PostgreSQL extension for vector similarity search and embeddings storage. | Ranking Score 52 | Free (open source) | Free (open source) |
| 4 | FAISS Library for efficient similarity search and clustering of dense vectors, developed by Meta AI. | Ranking Score 38 | Free (open source) | Free (open source) |
| 5 | Weaviate Bring AI-native applications to life with less hallucination, data leakage, and vendor lock-in | Ranking Score 38 | Free tier · paid from $45/month | Free tier · paid from $45/month |
| 6 | Typesense Typesense is a fast, typo-tolerant search engine optimized for instant search-as-you-type experiences and ease of use. | Ranking Score 35 | Free tier | Free tier |
| 7 | Aerospike Multi-model database with vector search capabilities — real-time key-value, document, and vector operations at massive scale with predictable low latency. | Ranking Score 28 | Free (open source) | Free (open source) |
| 8 | LanceDB Build fast, reliable RAG, agents, and search engines with LanceDB— a multimodal vector database with native versioning and S3-compatible object storage. | Ranking Score 25 | Free (open source) | Free (open source) |
| 9 | Vespa Vespa is the AI Search Platform for fast, accurate and large scale RAG, personalization, and recommendation. | Ranking Score 22 | Free (open source) | Free (open source) |
| 10 | Zilliz Zilliz vector database management system - fully managed Milvus - supports billion-scale vector search and is trusted by over 10000 enterprise users. | Ranking Score 14 | Free tier | Free tier |
| 11 | Redis Vector Search Vector similarity search built into Redis — HNSW and FLAT indexing, hybrid queries combining vector search with Redis data structures, sub-millisecond latency. | Ranking Score 13 | Free (open source) | Free (open source) |
Free & Open-Source Vector Databases: What You Need to Know
Vector databases offer some of the most generous free tiers in the data infrastructure space, driven by intense competition in the AI/LLM ecosystem. Several purpose-built vector databases provide free hosted tiers with enough capacity for production RAG applications serving thousands of queries per day. Open-source options like Qdrant and Milvus can be self-hosted at no licensing cost, and PostgreSQL's pgvector extension adds vector search to existing Postgres deployments for free.
What to Look For in Free Vector Databases
Free vector database tiers typically limit the number of vectors stored, the dimensionality of embeddings, or the number of queries per second. For RAG applications, calculate your expected index size (number of documents × chunks per document) and query volume before choosing. The performance gap between free tiers and paid plans is often significant — free tiers may run on shared infrastructure with higher latency. For self-hosted options, the cost shifts to compute and memory, since vector search is memory-intensive.
All Free Vector Databases
Qdrant is an Open-Source Vector Search Engine written in Rust. It provides fast and scalable vector similarity search service with convenient API.
Milvus is an open-source vector database built for GenAI applications. Install with pip, perform high-speed searches, and scale to tens of billions of vectors.
Open-source PostgreSQL extension for vector similarity search and embeddings storage.
Library for efficient similarity search and clustering of dense vectors, developed by Meta AI.
Bring AI-native applications to life with less hallucination, data leakage, and vendor lock-in
Typesense is a fast, typo-tolerant search engine optimized for instant search-as-you-type experiences and ease of use.
Multi-model database with vector search capabilities — real-time key-value, document, and vector operations at massive scale with predictable low latency.
Build fast, reliable RAG, agents, and search engines with LanceDB— a multimodal vector database with native versioning and S3-compatible object storage.
Vespa is the AI Search Platform for fast, accurate and large scale RAG, personalization, and recommendation.
Zilliz vector database management system - fully managed Milvus - supports billion-scale vector search and is trusted by over 10000 enterprise users.
Vector similarity search built into Redis — HNSW and FLAT indexing, hybrid queries combining vector search with Redis data structures, sub-millisecond latency.
Frequently Asked Questions
What is the best free vector databases in 2026?
Qdrant has the most verifiable public evidence among 11 free vector databases, with a Public Evidence Score of 63. Milvus and pgvector also rank highly. This measures the weight of public evidence, not which tool is best for your requirements.
What is the difference between free and open-source vector databases?
Open-source tools (Milvus, pgvector, FAISS) publish their source code and can be self-hosted with no licensing restrictions. Free tools and tools with free tiers offer no-cost access but may limit features, usage, or require a paid upgrade for production workloads. Tools with free tiers, such as Qdrant and Weaviate, also offer paid upgrades.
How are free vector databases ranked?
They use the same Public Evidence Score as our main rankings: 90% measured public evidence across at least two different platforms, 10% pricing accessibility. Free access is a filter for this page, not a bonus: it cannot make a tool eligible to rank, and every tool here is measured on the same evidence rule as the main list. How thoroughly we have covered a tool on this site, and the search traffic our pages receive, contribute nothing to its position. Vendors cannot pay to influence rankings, comparisons, verdicts or recommendations. Sponsored placements are clearly labelled and kept separate from editorial evidence.