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USE CASE · KNOWLEDGE SEARCH
Technical manuals, internal policies, regulatory bases, product documentation. ARI allows querying any document base in natural language: with cited, verifiable and updatable answers.
THE PROBLEM
Documents are scattered in folders, SharePoint, emails and various SaaS. Those looking for answers waste time navigating through hundreds of pages or asking colleagues.
Generic AI models without structured RAG give unverified answers or hallucinations. In business, an "almost correct" answer is a risk. ARI creates a semantic search system with cited sources for maximum reliability.
With ARI: company knowledge is not just stored, it is queryable. The system finds the right information and serves it with the citation of the source document.
01
Information fragmentation
Knowledge is siloed in thousands of documents. ARI indexes them and makes them accessible from a single natural language interface.
02
Risk of hallucinations
Generic LLMs "invent" if they don't find the data. ARI uses hybrid RAG to ensure that every answer is strictly based on your documents.
03
Verification time
An answer without a source requires manual verification. ARI provides the exact link or page of the source for every bit of information.
04
Local PDFs / Drive
Manuals, regulations, contracts
HOW IT WORKS
Source Connection
ARI connects to your sources: SharePoint, Google Drive, local folders or technical documentation via web.
Semantic Indexing
Documents are chunked and transformed into vectors. The meaning is captured, not just the keywords.
Hybrid Retrieval
The system searches for relevant information using both vector search (meaning) and keyword search (exact terms).
Contextual Generation
The LLM generates the answer using ONLY the retrieved context, citing the original sources for each point.
Continuous Update
As sources change, the index updates automatically. The knowledge base is always current and synchronized.
BUILDING BLOCKS USED
01
Knowledge Manager / RAG
Advanced indexing and semantic retrieval system with source citation and metadata management.
02
Web Crawler
Automatic collection of technical documentation and information from public or private web sources.
03
Data Transformer
Cleaning and structuring of technical text for optimal indexing in the vector database.
04
ARIdb
Integration with structured databases to combine textual documentation with numerical data.
EXPECTED RESULTS
95%
Search time reduction
Immediate answers instead of manual document research.
0
Hallucinations
Answers strictly limited to the provided context and cited sources.
24/7
Availability
Knowledge base always accessible to the whole team, with consistent answers.
Accessible to everyone
Non-technical users can query the knowledge base via API or chat interface (Executor). You don't need a data scientist to ask a question of your documents.
APPLICATION SECTORS
SETTORE 01
Customer Support
Internal support for agents who need to find answers in complex technical manuals or product policies quickly.
SETTORE 02
Legal and Compliance
Semantic research on huge bases of regulations, contracts and internal compliance procedures with source citation.
SETTORE 03
R&D and Pharma
Querying of scientific literature, patents and internal research reports to accelerate the discovery of insights.
SETTORE 04
Onboarding and HR
On-demand access to company manuals, handbooks and internal procedures for new employees.
Show us your document base. In 30 minutes we will show you how ARI can make it queryable and helpful for your team.
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