SEARCH YEARS OF INTERNAL KNOWLEDGE IN SECONDS
Private document search uses AI-powered retrieval (RAG) deployed within your controlled environment to let staff search internal policies, matter files, procedures, reports, and operational records through natural language queries. AIRGAP LLM deploys this capability for Melbourne-based organisations that need fast internal knowledge retrieval without sending sensitive material to public AI platforms.
Enable staff to search internal policies, matter files, procedures, reports, knowledge bases, and operational records through a private AI-powered search layer deployed within a controlled environment.
CAPABILITIES
HOW IT WORKS
DOCUMENT INGESTION
Your internal documents are securely indexed and embedded within your controlled environment. No data leaves your network.
SEMANTIC INDEXING
Documents are processed using vector embeddings that capture meaning, enabling natural language search beyond simple keyword matching.
PRIVATE QUERY PROCESSING
Staff ask questions in natural language. The system retrieves relevant passages and generates accurate answers with source references — all processed locally.
Organisations with large internal document sets that need faster retrieval without sending sensitive material into public AI tools. Particularly suited to law firms, healthcare providers, and financial services teams in Melbourne handling privileged or regulated information.
"The most common feedback we get after deploying private document search is that staff didn't realise how much institutional knowledge was locked in legacy documents. Semantic search surfaces answers that keyword search simply cannot find."
FREQUENTLY ASKED QUESTIONS
How does private document search work?
Private document search uses RAG (Retrieval-Augmented Generation) to connect a local LLM with your internal document corpus. Documents are indexed and embedded within your controlled environment. When staff ask questions, the system retrieves relevant passages and generates accurate answers — all without data leaving your network.
What types of documents can be searched?
AIRGAP LLM's private document search supports policies, procedures, matter files, reports, knowledge bases, contracts, correspondence, and operational records in common formats including PDF, Word, Excel, and plain text.
How accurate is AI-powered document search compared to keyword search?
AI-powered semantic search understands the meaning behind queries, not just keywords. This means staff can ask natural questions like 'What is our policy on client data retention?' and receive precise answers with source references, rather than sorting through hundreds of keyword matches.
Ready to Deploy Private AI?
Get in touch to discuss how AIRGAP LLM can help your organisation deploy private AI systems with full data control.
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