SolutionsGSearch

Turn enterprise knowledge into real value

Connect documents, spreadsheets, Q&A pairs, websites, Google Drive and databases so AI answers with your company's knowledge — permission-aware and fully traceable.

Why GSearch is the knowledge layer for enterprise AI

  • Understands your company

    Seven kinds of knowledge sources — documents, spreadsheets, Q&A pairs, websites, Google Drive, databases and past conversations — parsed with DeepDoc / MinerU, enriched with a glossary and linked in a knowledge graph.

  • Answers you can verify

    Every answer cites its sources. Click a citation to open the original passage or the exact PDF page; conflicting facts across documents are flagged, and a hallucination alert appears when evidence is thin.

  • Permission before retrieval

    Four document-level permission tiers and SSO (OIDC / SAML) are applied before anything is retrieved, so each person only searches what they are allowed to see. Deploy privately, with forward-deployed engineers handling data cleansing and permission mapping.

  • Organize knowledge first

    Remove duplicate and outdated content, parse document layouts, tables and scans, and preserve their structure. FDE helps map knowledge sources and company terminology so AI understands your business.

  • Keep knowledge up to date

    Refresh websites on a schedule and sync new content incrementally. Employees flag outdated information, administrators resolve feedback, and search logs reveal knowledge gaps.

  • Build once, benefit every team

    The same permission-protected knowledge supports employee search, GWork tasks and GStudio agents. Organize it once and reuse it across your business.

From generic AI to company-aware AI

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Knowledge Connectors

Sync documents, spreadsheets, Q&A pairs, websites with scheduled re-crawls, Google Drive with incremental sync, and databases via natural-language queries.

  • Documents: DOC / DOCX / PDF (including scans) / TXT / MD / HTML / XML
  • Spreadsheets, Q&A pairs, websites with scheduled re-crawls, Google Drive with incremental sync
  • Databases queried in natural language (NL2SQL) with charts, plus imported conversation logs

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Knowledge Management & Updates

Curate, version and refresh enterprise knowledge so answers stay current.

  • Structure-aware chunking and a choice of embedding models per knowledge base
  • Readers flag outdated documents or suggest updates and deletions; admins act on them
  • Usage dashboards and conversation logs show what people ask and where knowledge is missing

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Knowledge Graph Building

Extract entities and relations into a knowledge graph with community summaries, so cross-document questions get answered.

  • Entities and relations extracted into Neo4j triples
  • Community summaries answer questions that span many documents
  • Graph retrieval combines with hybrid search for multi-hop questions

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Traceable Answers & Fact-Conflict Detection

Answers grounded in your documents with verifiable citations — and automatic detection of conflicting facts across sources.

  • Citation markers jump to the source passage or the exact PDF page
  • Fact-conflict detection when sources disagree
  • Hallucination alerts, key-point extraction and off-topic detection

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Permission-Aware Access

Document-level permission tiers and SSO (OIDC / SAML) are applied before retrieval — people see only what they should.

  • Permission tiers per document set: VIEW, VIEW & SEARCH, EDIT, MANAGE
  • ACL and metadata filters are intersected before retrieval, not after
  • SSO with OIDC and SAML; SaaS or private deployment

From company knowledge to trusted answers

From files to knowledge

DeepDoc and MinerU parse layouts, tables and scanned pages; structure-aware chunking keeps headings and tables intact; a glossary teaches the model your terms; and the knowledge graph links people, products and policies across documents. The result is a knowledge base that answers the way an experienced colleague would.

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An agentic search pipeline

Instead of a single lookup, GSearch runs intent detection, planning, retrieval, context assembly and writing as separate stages, and asks a clarifying question when a request is ambiguous. The full multi-stage experience is delivered in the desktop client; the same retrieval is available to agents built in GStudio.

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Trust, feedback and reuse

Answers carry citations, conflict flags and hallucination alerts, and can be rated. Readers report outdated content, and administrators handle it from the console. Results export in nine formats — Markdown, HTML, PDF, DOCX, XLSX, PPTX, CSV, Mermaid diagrams and mind maps — so knowledge flows back into work.

How GSearch is delivered

Forward-deployed engineers (FDE) work alongside your team, from data cleansing to the feedback loop.

  1. Map the knowledge sources

    FDE inventories documents, spreadsheets, websites, Google Drive folders and databases, then cleans, de-duplicates and decides how each source is chunked.

  2. Map permissions

    Existing roles and document ACLs are translated into the four permission tiers and connected to SSO (OIDC / SAML).

  3. Build the knowledge base

    Sources are parsed, embedded and linked in the knowledge graph; the glossary and metadata tags are set up for your domain.

  4. Tune retrieval and answers

    Hybrid retrieval modes, rerank and answer templates are tested against real questions from your teams.

  5. Run the feedback loop

    Ratings, document-quality reports and usage dashboards keep knowledge current and reveal the workflows worth productizing in GStudio.

Knowledge infrastructure by the numbers

  • 7Kinds of knowledge sources
  • 3Retrieval modes
  • 4Permission tiers
  • 9Export formats
  • 2Document parsing engines

Security, deployment and FDE services

Private deployment is available, and forward-deployed engineers handle the groundwork so your knowledge base is trustworthy from day one.

  • Guardrails

    • Four document-level permission tiers: VIEW, VIEW & SEARCH, EDIT, MANAGE
    • ACL ∩ metadata filtering before retrieval
    • SSO with OIDC and SAML
    • Citations, fact-conflict detection and hallucination alerts on every answer
    • Conversation logs and usage dashboards for AI Search
    • Document-quality feedback handled in the admin console
  • Deployment and FDE services

    • SaaS or private (on-premises) deployment
    • Data cleansing and de-duplication of source documents
    • Knowledge-source inventory and chunking strategy
    • Permission mapping from existing roles and ACLs
    • Glossary setup and the post-launch feedback loop

Enterprise knowledge scenarios

Explore how public institutions can organize knowledge, manage access and provide search for their teams.

Book a Demo

A large public institution in Singapore

Public sectorSingaporeGSearch

ProfileA large public institution with thousands of policy documents, procedures and forms spread across departments and formats.

ChallengeStaff spent long stretches looking for the right version of a document, and answers depended on who you asked.

SolutionGSearch was deployed with SSO and document-level permissions. FDE cleansed and de-duplicated the corpus, mapped existing ACLs to permission tiers and built a glossary of institutional terms; the knowledge graph links policies, departments and procedures.

A large public institution in Singapore

A large public institution in Thailand

Public sectorThailandGSearch

ProfileA public institution serving citizens and businesses, with frequently changing regulations and a large front-line workforce.

ChallengeNew staff took months to learn the rules well enough to answer confidently, and inconsistent answers created rework and complaints.

SolutionGSearch became the single knowledge entry point for front-line staff, with hybrid retrieval, fact-conflict detection and scheduled re-crawls of regulatory websites; FDE mapped permissions and set up the feedback loop.

A large public institution in Thailand

GSearch FAQ

Documents (DOC, DOCX, PDF including scanned pages, TXT, MD, HTML, XML), spreadsheets (XLS, XLSX, CSV), Q&A pairs, websites (a single URL, a sitemap or a whole site, with scheduled re-crawls), Google Drive with incremental sync, databases queried in natural language, and imported conversation logs.

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