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Vectara

Enterprise AI platform for managed, grounded agents that answer from your data with citations.

Infrastructure by Vectara

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About

Vectara is an enterprise platform for managed AI agents that answer from your data with traceable citations. It is sold as SaaS from $100K a year, VPC from $250K a year, or on-premise from $500K a year. Its retrieval uses Boomerang and its generative model is Mockingbird, and customers can bring their own models such as ChatGPT, Claude or Gemini.

Use cases: knowledge-base

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Fact sheet

Category
RAG and data · rag as a service
Self-host
Yesvectara.com
SLA
Written uptime and support response SLAs for Enterprise accounts (percentage not stated)vectara.com

Plans

30-day free trial$0all features included for 30 days; trial only
SaaSContact salesstarting at $100K a year; 1 SaaS deployment
VPCContact salesstarting at $250K a year; 1 VPC deployment in any VPC
On-premContact salesstarting at $500K a year; 1 on-premise deployment

From the vendor's pricing page, read Oct 24, 2026.

Facts read from the vendor's own pages by claude-haiku-5-5 on Oct 24, 2026; a fact is shown only with the page it came from.

Details

License
License unknown
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

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Vectara. Agent Mart. https://agentmart.dev/infrastructure/vectara (last updated 2026-10-24)