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Why Enterprises need a unified Agentic AI Platform

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  • Complexity

    • Multimodal data spanning diverse formats and sources

    • Understands and enforces each source’s own data access control protocol

    • One platform for every agentic use case, any environment (on-prem, private, and public cloud)

  • Context

    • Assembling multi-source, multimodal data into relevant, usable context for the agent harness

    • Metadata enriched automatically for access controls, reranking, and agent context

    • One data layer serving every use case; low friction & cost to add the next agent

  • Confidence

    • Full observability with verifiable data trace in one click, from answer to source

    • Higher accuracy, lower hallucinations provable via evaluation metrics

    • One set of guardrails and a full audit trail, not agents running wild

Solving for complexity

Converge every data source into a single access point. A catalyst that converts raw data from a storage cost line item into agentic leverage.

Business documents

Presentations, policies, contracts, reports, research papers, PDFs, Word, PowerPoint

Support and technical knowledge

Tickets, chat transcripts, knowledge articles, tech docs, spec sheets

Issue and resolution signals

Incidents reports, prior case comments including attachments

Structured systems

Wikis, code repos, databases, internal APIs

One context layer that taps into all of your data

Unified context layer
  • Support tickets
  • Compatibility matrix
  • Environment configs
  • Release notes
  • Product docs
  • Known issues
  • Case reports
  • Team notes
BlockedAllowedAnswerAgentAccuracyGuardrailsObservability

Solving for confidence

High accuracy and low hallucination are not enough on their own: agents also need guardrails on what they can do and evaluations to ensure quality is provided.

Getting agents to operate correctly in production involves combining complex components in the right way. Vectara has proven the platform can do this well especially when multimodal data is involved.

Alan Davidson avatar
Alan DavidsonChief Information Officer, Broadcom

How Vectara delivers what others cannot

One platform ensures trustworthy, governed, grounded agents without fragmented, risky, duplicated infrastructure.

Your data

  • PDF, DOC, PPT, MD
  • Images, charts, tables
  • Emails and chats
  • SharePoint, Box, Drive
  • Websites, intranet, CMS
  • Tickets, wikis, repos
  • Operational systems
Managed AgentsAdd-onOut-of-the-box apps for specific use cases, built and managed by Vectara on top of the platform.

  • Ingest and parse

    • Multimodal parse and enrich
    • Metadata auto-tagging
    • Resilient at scale

  • Retrieve & ground

    • Hybrid retrieval and search
    • Re-ranking
    • Hallucination detection and evals

  • Orchestrate

    • Agent harness: skills, tools, MCP, memory
    • Grounded generation
    • Sub-agent workflows

Your apps and users

  • REST APIApps and services
  • MCPAgent tools
  • A2AAgent-to-agent
  • UIEnd users

Deploy your way, without compromising security

Vectara is the only agentic AI platform you can deploy as SaaS, in your VPC, or on-premises, with the same enterprise-grade security everywhere.

Runs anywhere

SaaSFully managedVPCAWS, Azure, GCPOn-premYour data centerAir-gappedNo outside network
SSO and entitlementsIncludedIncludedIncludedIncluded
Audit and observabilityIncludedIncludedIncludedIncluded
Access controlsIncludedIncludedIncludedIncluded
Tenant managementIncludedIncludedIncludedIncluded

Bring your own LLM, or use ours

Vectara domain LLMBuilt-in

Or bring your own

  • Claude
  • GPT
  • Gemini
  • Llama
  • Mistral
  • Nemotron
  • Gemma

Create AI Agents in minutes

Vectara is the Agent OS for trusted enterprise AI: governed, grounded, auditable agents with real-time policy and factual-consistency enforcement.

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