Vectara
Semiconductor

Intelligent agents for every stage of the chip lifecycle

Vectara is an enterprise AI platform powering intelligent, managed AI agents used in multiple semiconductor use cases.

  1. Design
  2. Fab
  3. Assembly and test
  4. Packaging
  5. Quality

Design

Find reusable IP and debug faster.

The challenge

Design turns a specification into silicon: architecture, RTL, verification, and physical layout. Knowledge lives in specs, reviews, bug trackers, and tool logs. Agentic AI promises to automate searching and debugging, but agents that guess, cite nothing, or leak proprietary IP across tools create risk teams cannot accept near tapeout deadlines.

How Vectara helps

Vectara grounds agents in your specs, design documents, review notes, and tool logs. Every response carries linked citations and a factual consistency score, while verified tool execution and an audit trail make actions reviewable before engineers act. Deploy on-premises or in an isolated VPC; it never trains on your data.

CPU clusterMemoryPLLSerDes block

Reuse candidate found. Timing closed at the target node in the last tapeout review.

  1. 1Tapeout review notes
96% consistency

Fab

Recall what the line already knows.

The challenge

The fab turns wafers into working die through hundreds of tightly controlled process steps, generating petabytes of data weekly. Engineers must recall SPC findings, maintenance procedures, and vendor guidance mid-shift. Agentic AI could speed excursion response, but ungrounded agents misquote procedures, miss context across tools, and risk exposing process IP.

How Vectara helps

Vectara uses RAG to ground agents in SPC findings, maintenance SOPs, and vendor documentation, including multimodal data. Linked citations, factual consistency scores, and verified tool execution let technicians confirm each answer before acting. Isolated VPC or on-premises deployment keeps process IP inside your walls, and Vectara never trains on it.

Critical dimension, etch chamber 4Upper limitLower limit

Similar drift followed a chamber PM in two earlier excursions. See the seasoning step.

  1. 1SPC report
  2. 2Maintenance SOP
94% consistency

Assembly and test

Shorten the path from failing part to root cause.

The challenge

Assembly and test cut wafers into die, attach them, and screen every part for defects. Test results, bench data, and failure reports sit in separate systems. Agentic AI could trace a failing unit to its root cause, but agents without grounding may link unrelated cases, misread limits, and hide reasoning.

How Vectara helps

Vectara connects test data, bench results, and failure analysis reports, then retrieves similar cases with linked citations. Factual consistency scores show how each conclusion is supported, and an agent audit trail records every tool call. Engineers verify the root cause quickly and hand findings to the next shift, site, or supplier.

Wafer map, final test

Fails cluster on one tester site. A prior lot showed the same pattern, traced to probe wear.

  1. 1Test summary
  2. 2Failure analysis report
  3. 3Audit trail
93% consistency

Packaging

Keep complex package decisions traceable.

The challenge

Advanced packaging combines multiple die, substrates, interposers, and materials into one working system. Design rules, supplier specifications, and qualification results span many teams and vendors. Agentic AI could answer these questions instantly, but ungrounded agents may mix up material grades, overlook conditions, and expose confidential supplier terms and package IP.

How Vectara helps

Vectara indexes design guidelines, supplier datasheets, contracts, and qualification reports, so answers reflect the latest approved data. Every response links to its sources and carries a factual consistency score. Enterprise-grade access controls protect supplier and package IP, and teams can compare specifications and contract terms across vendors in one conversation.

2.5D package, cross-sectionMemoryMemoryCompute dieInterposerUnderfillPackage substrate

Two underfills are qualified. One needs a longer cure profile for large die.

  1. 1Qualification report
  2. 2Supplier datasheet
95% consistency

Quality

Stay audit-ready and compliant.

The challenge

Quality spans every stage: audits, corrective actions, supplier contracts, and export compliance under EAR and ITAR. Evidence lives in scattered records, and regulators expect proof. Agentic AI could assemble that evidence, but ungrounded agents may invent citations, overlook key clauses, and leave no trail that an external auditor can verify.

How Vectara helps

Vectara grounds agents in your quality records, policies, and contracts, then cites each underlying source. Factual consistency scores flag weakly supported claims, and the agent audit trail shows every step taken. With on-premises or VPC deployment, teams prepare for audits and EAR and ITAR reviews without losing control of IP.

Export-control clauses, audit reviewvs. template
  • Supplier agreement AMatches
  • Supplier agreement BDiffers
  • Supplier agreement CMatches
  • Supplier agreement DDiffers

B and D use an outdated export-control clause. Update both before the audit.

  1. 1Supplier contracts
  2. 2Compliance policy
  3. 3Audit trail
92% consistency

Get started with Vectara

Vectara is the shortest path between question and answer, delivering true business value in the shortest time.