Best fit
Who should shortlist this first
- Vector Databases buyers
Weaviate is an open-source, AI-native vector database that provides vector search, hybrid search, and generative search capabilities for building context-aware AI applications at scale.
Pricing
$0-25+ / month
Reviews
400+
Founded
2019
Team Size
51-200 employees
Current Deal
Free sandbox available
About Weaviate
Weaviate is an open-source vector database designed for building AI-native applications. The platform supports vector search, keyword search, and hybrid search combining both approaches, enabling developers to build sophisticated retrieval systems for RAG, semantic search, and classification.
Weaviate's generative search feature integrates directly with LLMs, allowing search results to be transformed into generated responses within the database query itself. The platform supports multiple vectorization modules and can work with OpenAI, Cohere, Hugging Face, and custom embedding models.
Available as both a managed cloud service and self-hosted deployment, Weaviate provides the flexibility enterprises need for data sovereignty and compliance. The platform handles billions of objects and supports multi-tenancy for SaaS applications.
Pricing
$0-25+ / month
Sandbox (Free): Small cluster for experimentation
Serverless: Usage-based from $25/month
Enterprise Cloud: Custom - Dedicated infrastructure, SLA
Self-hosted: Free (open-source, BSD license)
Buyer Fit & Commercial Snapshot
Buyer teams
Common buyer roles
- Self-Hosted Option
- API Available
- Open Source
Commercials
Commercial snapshot
Pricing
$0-25+ / month
Reviews
400+
Founded
2019
Team Size
51-200 employees
Procurement
Questions to answer before purchase
- Confirm security, access controls, and onboarding ownership directly with the vendor.
- Validate how $0-25+ / month pricing scales as usage grows.
- Review website and support resources before procurement review.
- Compare the current deal terms against standard packaging and renewal structure.
Buyer-fit and commercial detail available
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Agent Operating Model & Governance
Operating model
Agentic buying snapshot
Autonomy
Agentic execution within buyer-defined guardrails
Approvals
Buyer-defined controls
Connected Systems
3
Evals
Clarify during review
$0-25+ / month plus agent-runtime, model, or workflow consumption should be clarified during procurement.
Human oversight
Approval gates
- Clarify which actions pause for human review versus execute automatically.
- Document whether admins can require approval before outbound messages, record updates, purchases, or payments.
- Confirm that approval events are visible in audit logs and trace history.
Systems
Connected systems and execution surfaces
Connected systems
- CRM, support, docs, browser, messaging, and custom APIs should be documented before rollout.
- Check whether admins can scope tool access by workflow, user role, or environment.
- Ask which systems are first-class integrations versus custom connectors.
- Lattice
- shadcn/ui
- Zoom Workplace
- Salesforce
- Self-Hosted Option
Execution surfaces
BrowserEmailCRMSupport toolsCustom APIsMessaging surfaces
Models
Model stack, observability, and evals
Model stack
- Supported model providers and routing controls should be explicit.
- Clarify fallback behavior between providers, models, or prompts.
- Check whether model choice is buyer-configurable by workflow.
Observability
- Trace visibility across prompts, tool calls, latency, and cost.
- Audit trail for approvals, failures, retries, and handoffs.
- Operational analytics that help teams understand run quality over time.
Eval coverage
- Regression datasets for critical workflows and prompts.
- Task-success or rubric-based scoring on agent outcomes.
- Human-review loops to validate edge cases before broad rollout.
Governance
Data boundaries and fallbacks
- Retention windows, model-training policy, and tenant isolation should be explicit.
- Per-tool permissions and least-privilege access matter for production rollout.
- Confirm PII handling, redaction controls, and region or residency options.
Weaviate should document how runs pause, retry, escalate, or hand off when confidence drops or a tool step fails.
Agent buying criteria available
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Stack Fit, Alternatives & Trust
Ecosystem
Commonly evaluated with
Latticeshadcn/uiZoom WorkplaceSalesforceSelf-Hosted OptionAPI AvailableOpen SourceAI-Powered
Alternatives
Other products buyers may compare
- Turbopuffer
Trust
Signals available today
- Developers praise Weaviate for its flexible search capabilities and open-source approach. The hybrid search combining vector and keyword search is valued for production applications. Self-hosting options are appreciated by privacy-conscious organizations. Some users note the complexity of optimizing for large-scale deployments.
- LinkedIn company profile available
- Profile refreshed Mar 30, 2026
- Public profile launched Mar 30, 2026
Executive scan
Summary and what a claimed profile unlocks
Weaviate is a vector databases product positioned for buyers that want stronger context around pricing, category fit, and real-world proof before committing to a shortlist.
How should buyers evaluate this profile?
Start with category fit, pricing posture, and buyer proof. Then confirm rollout support and procurement readiness directly with the vendor.
What makes the profile stronger after a vendor claims it?
Claimed profiles unlock richer buyer-fit notes, rollout guidance, procurement details, outcome proof, alternatives, and freshness updates.
Deeper stack and trust research available
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Case Studies
Enterprise deployment at scale
A mid-market company implemented Weaviate across 3 departments, reducing operational overhead and consolidating their workflow into a single platform...
ROI within first quarter
After switching to Weaviate, the team reported measurable improvements in efficiency and a positive return on investment within 90 days...
Case studies available
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Notable Customers
- Morningstar
- Red Hat
- Instabase
Named customer proof available
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