Flexper month
from $45/month minimum
- baseline cluster plus Vector Dimensions and Storage
- backups charged on top
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Start here for the decision-making essentials: what Weaviate does, who it is for, how it is accessed, and the first-party sources behind this profile.
from $45/month minimum
Weaviate is an open-source, deployment-agnostic AI database platform that unifies vector search, RAG, and memory capabilities to help developers build AI-native applications with reduced hallucination and vendor lock-in.
Read-only public captures of Weaviate’s homepage. Screenshots are dated, never live embeds, and open full-screen.
Short answers to the questions buyers and builders commonly ask about Weaviate. Each answer cites the shared ledger below, where every source is listed once.
Vector database supporting vector search, keyword search, hybrid search, filtering, multi- · Vector search, keyword search, hybrid search, filtering, multi-tenancy, and retrieval-augm · Pre-built agentic workflows that dynamically interact with data to perform sync, async, an · Query the database in natural language
Weaviate is an open-source, AI-native vector database that stores objects and vectors together and supports vector search, keyword search, hybrid search, filtering, multi-tenancy, and retrieval-augmented generation.
Enterprise organizations requiring multi-billion vector scale, multi-tenancy, and SLAs (e.
one of the world's largest vector database deployments
Multi-tenant retrieval-augmented generation (RAG) for AI applications across thousands of · Financial data research and analysis platform processing large-scale documents · Powering AI agents for high-volume insurance claims processing · Memory built for AI agents that remember, learn, and continually improve over time, includ
He needed a RAG retrieval system that could scale across thousands of customers, each with their own isolated datasets, while maintaining high-quality semantic search.
Flex | from $45/month minimum | baseline cluster cost including Vector Dimensions and Stor · Premium | from $400/month minimum | baseline cluster cost including Vector Dimensions and
The minimum covers the baseline cluster cost and includes charges for Vector Dimensions and Storage: $45/month on Flex
Engram APIs for sending user interactions/application context and retrieving memories in r
Send user interactions or application context via Engram APIs, no preprocessing needed
Seamlessly connect data with models from a range of providers · Built-in MCP server providing hybrid search over code and docs to Claude Code, Cursor, and · Composable templates for common use cases plus extensible properties and composable pipeli
Seamlessly connect your data with models from a range of providers
This profile connects the jobs Weaviate is described as handling with its delivery model, access options and the subjects used to match it to related products in this directory.
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The AI database developers love | Weaviate
Weaviate is an open-source, AI-native vector database · Stores objects and vectors together · Supports vector search, keyword search, hybrid search, filtering, multi-tenancy, and RAG
Vector database supporting vector search, keyword search, hybrid search, filtering, multi-tenancy, and retrieval-augmented generation
Weaviate is an open-source AI-native vector database
Cross-platform
Weaviate B.V.
Prinsengracht 769A, 1017 JZ, Amsterdam, NL
Serverless, Weaviate Enterprise Cloud, and Bring Your Own Cloud deployment options
Data fully encrypted in transit and at rest, with granular access controls and multi-tenant isolation
Weaviate Cloud is SOC 2 audited; Enterprise Cloud on AWS is HIPAA compliant
Flex | from $45/month minimum | baseline cluster cost including Vector Dimensions and Storage; backups charged on top
A concise view of the jobs, capabilities and integrations described in the recorded product sources.
Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.
A concise history of software releases and material product changes. Events appear only when a dated source supports what changed.
This profile is being checked for dated releases and material product changes. Nothing appears here until the exact date and event can be verified from a recorded source.
Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.
These tools share a workflow, capability or audience with Weaviate. They may complement it rather than replace it, and are not presented as integrations or endorsements.
Premium | from $400/month minimum | baseline cluster cost including Vector Dimensions and Storage; backups charged on top
Vector search, keyword search, hybrid search, filtering, multi-tenancy, and retrieval-augmented generation
AI-native vector database
True
Weaviate B.V.
Prinsengracht 769A, 1017 JZ, Amsterdam, NL
Can be self-hosted or run as a managed service in Weaviate Cloud
Pre-built agentic workflows that dynamically interact with data to perform sync, async, and multi-step tasks
Query the database in natural language
Generate embeddings within Weaviate Cloud without connecting to a third-party provider
Seamlessly connect data with models from a range of providers
Built-in MCP server providing hybrid search over code and docs to Claude Code, Cursor, and VS Code
Weaviate Cloud supports granular role-based access control with new Editor and Viewer roles
Stores objects and vectors together and supports vector search, keyword search, hybrid search, filtering, multi-tenancy, and retrieval-augmented generation
Open-source
AI-native vector database
Weaviate B.V.
Prinsengracht 769A, 1017 JZ Amsterdam, Netherlands
GitHub (github.com/weaviate and github.com/weaviate/weaviate)
Multi-tenant retrieval-augmented generation (RAG) for AI applications across thousands of isolated customer indexes
Financial data research and analysis platform processing large-scale documents
Enterprise organizations requiring multi-billion vector scale, multi-tenancy, and SLAs (e.g., fintech, digital identity protection, AI customer support)
Operates a responsible disclosure / vulnerability reporting program via HackerOne with a Weaviate Security Hall of Fame
Weaviate
Weaviate B.V.
Amsterdam, Netherlands
Open-source vector database
Vector search, keyword search, hybrid search, filtering, multi-tenancy, and retrieval-augmented generation
