01
Source inventory
We map which documents matter and where they live.
RAGAI search
AI search
over your documents
A knowledge base that answers your team and your customers precisely — always citing the source document.
What it is
Your internal knowledge,
answering on its own.
Manuals, policies, contracts, old tickets — all that information exists but nobody finds it in time. RAG search turns it into direct answers in natural language.
We combine vector semantic search with language models (Retrieval-Augmented Generation): the system retrieves the relevant fragments from your documents and composes a precise answer, always citing the source. No hallucinations, nothing made up.
- ✓Cited answersEvery answer points to the exact document and source page.
- ✓Real semantic searchFinds what you mean, not just the exact words.
- ✓Synced with your sourcesDrive, SharePoint, Notion, Confluence — always up to date.
- ✓Inherited permissionsEach user only sees what they can already see in their systems.
How we do it
From idea to deploy,
in 4 steps
A lightweight, iterative process with tangible deliverables from the very first week.
02
Ingestion & chunking
We parse, clean and chunk into optimal fragments.
03
Vector indexing
We generate embeddings and store them in a vector database.
04
Interface & evaluation
We give access by chat or API and measure accuracy weekly.
Impact
Results you can measure
Reference figures from similar projects. We validate yours in the first phase.
−85%
Time searching for information
Answers arrive in seconds, not hours.
100%
Cited answers
Verifiable, auditable, defensible to clients.
3×
Onboarding productivity
New hires self-sufficient from day 1.
Use cases
Real applications by industry
Customer support
Documentation assistant
Your team answers with the full docs at hand.
Legal
Q&A over contracts
Locates clauses and compares terms in seconds.
Compliance
Regulatory search
Finds what the policy says and since when it applies.
R&D
Project memory
Recovers technical decisions and rationale from history.
Operations
Technical manuals
The field technician asks and resolves without going back to the shop.
HR
Internal policies
Holidays, allowances, expenses — explained in plain language.
Stack
Technologies we use
We pick tools to fit the project, not the other way around. These are the ones we reach for most.
Pinecone · Weaviate · QdrantOpenAI EmbeddingsClaude · GPT-4LangChain · LlamaIndexPostgres · pgvectorGoogle Drive · SharePointNotion · Confluence
FAQ
Frequently asked questions
Does the AI make things up?
No. It only answers with what appears in your documents, citing the source. If it doesn't know, it says so.
What document types does it work on?
PDF, Word, slides, spreadsheets, Notion, Confluence, emails, tickets — practically any text.
What if the documents change?
They are re-indexed automatically when they change. The knowledge base is always current.
Does it respect existing permissions?
Yes. Each user only sees answers based on documents they already have access to.
Where is my data stored?
Wherever you decide: cloud, on-premise or private infrastructure. GDPR by default.
Next step
Turn your knowledge
into a competitive edge.
We set up a trial over your documents in 2 weeks. You measure results before investing further.
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