
Unify data. Deliver context. Trust every answer.
Vectara turns complex, multimodal data into actionable intelligence that drives better business outcomes
Enterprise AI Platform for Semiconductor
Vectara is an enterprise AI platform powering intelligent, managed AI agents used in multiple semiconductor use cases
Design
Obtain answers backed by traceable citations, giving design engineers the insights and trust needed to streamline and improve chip development.
Fab
Unify machine logs, tool manuals, and process data into a single source of truth, helping fab engineers pinpoint excursions faster and keep lines running at peak yield.
Assembly and test
Correlate test logs, bin data, and historical failure signatures in real time, equipping test engineers to isolate defects faster and cut retest cycles.
Packaging
Connect packaging specifications, reliability data, and supplier documentation so packaging engineers can catch die-to-package integration issues before they affect yield or field reliability.
Quality
Ground root-cause and corrective-action reports in governed, auditable data, giving quality teams the confidence to close CAPAs faster and drive continuous defect reduction.
Proven in production
Measured results from semiconductor and storage leaders running agents on Vectara.
- Data Storage Company
90%
Retrieval accuracy, up from 40%
Before40%Vectara90% 30%
Reduction in failure analysis time
Before100Vectara70- Fortune 500 Semiconductor Technology Company
10+
Use cases live on Vectara, with no LLM lock-in
Multiple use cases, one platform 3 months
From POC to production for multiple agents: search, chat, and AI SDR
- POC
- Production
Why Enterprises need a unified Agentic AI Platform
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
One data layer serving every use case; low friction & cost to add the next agent
Metadata enriched automatically for access controls, reranking, and agent context
Confidence
Guardrails and a full audit trail, not agents running wild
Higher accuracy, lower hallucinations provable via evaluation metrics
Full observability with verifiable data trace in one click, from answer to source
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
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 managed | VPCAWS, Azure, GCP | On-premYour data center | Air-gappedNo outside network | |
|---|---|---|---|---|
| SSO and entitlements | Included | Included | Included | Included |
| Audit and observability | Included | Included | Included | Included |
| Access controls | Included | Included | Included | Included |
| Tenant management | Included | Included | Included | Included |
Bring your own LLM, or use ours
Or bring your own
- Claude
- GPT
- Gemini
- Llama
- Mistral
- Nemotron
- Gemma
Create powerful agents for semiconductor failure analysis
Watch the demo videoGet started with Vectara
Vectara is the agent platform for trusted enterprise AI: governed, grounded, auditable agents with real-time policy and factual-consistency enforcement.
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