tools
Vectara Platform
Enterprise platform for building, deploying, and governing AI agents over business data.
In inglese
Vectara helps organizations build AI agents that retrieve information from documents, generate answers, use tools, and apply governance controls. It supports multimodal indexing, neural and lexical search, reranking, customized generation, factual-consistency scoring, and tool validation.
Teams can deploy it as SaaS, in a customer-managed VPC, or on-premises. It provides APIs and integrations for data ingestion and agent development. Pricing is enterprise-focused: paid plans start at $100K/year, while the free trial lasts 30 days and is not a free-forever plan.
Features
- Build multiple AI agents on shared data infrastructure
- Index and retrieve text, tables, images, and complex documents
- Combine neural search, lexical search, reranking, and generation
- Add custom agent instructions and bring your own tools
- Use bring-your-own embedding and generative models
- Score factual consistency and validate agent tool use
- Deploy through SaaS, VPC, or on-premises environments
- Access platform capabilities through APIs
Use cases
- Build enterprise knowledge-base assistants
- Automate customer-support conversations and escalation
- Analyze technical documents for troubleshooting
- Manage document lifecycles with grounded retrieval
- Monitor agent usage, traces, costs, and performance
Pros
Cons
Latest updates
- LLM Token Quotas and Per-Agent Quotas
Cap input and output tokens per minute, UTC day, and UTC month for an LLM or agent.
- Confluence Ingests Attachments and Embedded Images
A Confluence pipeline source ingests page attachments as records and inlines images embedded in page bodies.
- Ingest Multiple S3 Prefixes in One Pipeline
An S3 pipeline source scopes ingestion with prefixes, a list of up to 100 key prefixes.
- Pipeline Sources Can Propagate Record Deletions
A pipeline source can report that a record was removed, not just created or updated.
- Spreadsheet, PowerPoint, and Word Libraries in the Sandbox
The sandbox runtime now ships document and spreadsheet packages alongside numpy and pandas.
Capabilities
- Choice of models — “Vectara lets you apply the retrieval LLM that best fits your use case.” source
- Self-hosted — “Vectara is available as a service on-premises, within your VPC, or via SaaS.” source
- API — “One easy-to-use API to enable 100s of use cases” source
- Runs models for you — “Vectara's own RAG-optimized Generative LLM” source
- Builds agents and workflows — “Vectara provides the industry's highest accuracy and lowest hallucination rates.” source
- Search over your data — “Vectara employs agentic extraction from documents, neural and lexical search, knowledge re-ranking, and customized generation.” source
- Traces and evaluates — “Vectara flips the script, providing granular observability and proactive Guardian Agents.” source
Get it
Pricing
- Starting price
- $100000/yr
- Prices checked
- 2026-09-24
- Read
- by web search
30 Day Free Trial
Free
- 30 days to try Vectara
- 10,000 credits included
- All features included for 30 days
SaaS
- Starting at $100K/ year
- 1 SaaS Deployment
- 10,000,000 credits/year included with base platform package purchase
VPC
- Starting at $250K/ year
- 1 VPC Deployment (Any VPC)
- 100,000,000 credits/year included with base platform package purchase
On-prem
- Starting at $500K/ year
- 1 On-Premise Deployment
- 100,000,000 credits/year included with base platform package purchase