Best Vector Databases for n8n

Find and compare the best Vector Databases for n8n in 2026

Use the comparison tool below to compare the top Vector Databases for n8n on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Cloudflare Reviews
    Top Pick

    Cloudflare

    Cloudflare

    $20 per website
    2,035 Ratings
    See Software
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    Cloudflare Vectorize is a high-performance, globally distributed vector database tailored for contemporary AI applications such as search, recommendation systems, and Retrieval Augmented Generation (RAG). It allows developers to efficiently store and retrieve embeddings—representations of various data types including text and images—while delivering exceptional speed at the edge. Vectorize seamlessly integrates with Cloudflare's comprehensive AI development ecosystem, which features tools like Workers AI and AI Gateway, creating a cohesive platform for AI inference, monitoring, and scaling. Engineered to ensure low latency and cost-effectiveness, Vectorize automatically adapts its vector storage capabilities as data volume and traffic increase. Its worldwide infrastructure guarantees close proximity to users and machine learning environments, significantly boosting performance and dependability. With Vectorize, developers can swiftly and economically create and implement full-stack AI solutions like never before.
  • 2
    Weaviate Reviews
    Weaviate is an open-source vector database built for the AI era, giving teams one platform for vector search, retrieval-augmented generation, and agent memory. Store data objects together with embeddings from your preferred machine learning models and scale effortlessly to billions of objects. Import your own vectors or rely on Weaviate's built-in vectorization, then search across vector, keyword, and hybrid methods to get highly relevant results, even when filters are applied. By connecting to today's leading large language models, Weaviate helps you build grounded search and question-answering over your own data. The platform reaches well beyond storage: its Query Agent translates plain-language questions into accurate queries with citations, Engram delivers managed long-term memory for AI agents, and Weaviate Embeddings removes the work of running your own embedding pipeline. Available as self-hosted open source or fully managed Weaviate Cloud across AWS, GCP, and Azure, backed by SOC 2 Type II, native multi-tenancy, replication, and role-based access control. From semantic search to recommendation to fully agentic applications, Weaviate is the foundation to ship AI products faster.
  • 3
    CrateDB Reviews
    The enterprise database for time series, documents, and vectors. Store any type data and combine the simplicity and scalability NoSQL with SQL. CrateDB is a distributed database that runs queries in milliseconds regardless of the complexity, volume, and velocity.
  • 4
    Supabase Reviews

    Supabase

    Supabase

    $25 per month
    Launch a backend in under two minutes by starting with a Postgres database that includes features like authentication, instant APIs, real-time subscriptions, and storage capabilities. Accelerate your development process and direct your efforts toward enhancing your products. Each project utilizes a complete Postgres database, recognized globally as a reliable relational database. Implement user sign-ups and logins while ensuring data security through Row Level Security measures. Facilitate the storage, organization, and serving of large files, accommodating various media types such as videos and images. Customize your code and set up cron jobs seamlessly without the need to deploy or manage scaling servers. There are numerous example applications and starter projects available to help you get started quickly. The platform automatically introspects your database to generate APIs instantly, allowing you to avoid the tedious task of creating repetitive CRUD endpoints and concentrate on your product's development. Type definitions are automatically created from your database schema, enabling a more streamlined coding experience. You can also use Supabase directly in your browser without a complicated build process, and develop locally before deploying to production at your convenience. Manage your Supabase projects effectively right from your local machine, ensuring a smooth and efficient workflow throughout your development journey.
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