Bringing your sources together
File server, SharePoint, Notion, mailboxes, scanned PDFs: making them readable by the machine, even when they are badly organised.
Knowledge base
Making your internal documents searchable by AI
Your teams spend a considerable amount of time looking for information that already exists: the right version of a procedure, a clause in a contract, the decision taken eight months ago. The problem is not that the information is missing, it is that it cannot be found.
The technical solution has a name you will see everywhere: RAG, for “retrieval-augmented generation”. Put simply: the AI first looks for the relevant passages in your documents, then answers based on them, citing its sources. That is what stops it from making things up.
149 providers in the directory cover this need. You pay nothing, neither to search nor if you hire one of them.
What a provider does on this subject
Answering with citations
Every answer points to the document and the exact passage, so you can check it in one click.
Respecting access rights
Everyone should see only what they are allowed to see. This is the part failed projects most often forget.
Staying up to date
A knowledge base frozen on delivery day becomes wrong again within three months. You need to plan how new documents get in.
Situations that look like yours
- A support team queries 4,000 pages of product documentation instead of disturbing the experts.
- A law firm instantly finds a standard clause in ten years of contracts.
- A quality department checks that a procedure is indeed the latest applicable version.
- A sales team finds what was promised to a customer, and by whom.
If your case is not on this list, describe it anyway: we will tell you honestly whether it falls within what our providers know how to do.
What it costs you
€0
to post your project, receive qualified providers and talk with them.
And €0 too if you hire one of them: Claude Partners is paid by the provider you choose, at 20% of the engagement amount excluding VAT. Nothing is added to the quote you receive.
See pricing in detailScope your request before posting it
Four answers are enough to turn an intention into a request that can be qualified — and to get comparable quotes rather than a gap of 1 to 10 between two providers.
How many documents, and of what type?
An order of magnitude is enough: 500 Word files, 20 years of emails, 3,000 scanned PDFs. Scanned documents cost more than text.
Who should be able to query it, and see what?
If not everyone should see everything, say so from the first conversation: it changes the architecture, it is not an end-of-project setting.
What typical question should it be able to answer?
Give three real questions your teams ask themselves. They will be used to measure whether the result is good.
Who updates it, and how often?
A knowledge base is a living service, not a deliverable you drop off.
Four questions to ask the provider
- What does the system answer when the answer is not in my documents?
- How do you measure that the answers are correct, and on what sample?
- Where are my documents stored once processed, and who can access them?
- How much does it cost to add 1,000 more documents?
The mistakes that cost a lot
Believing AI makes up for chaotic filing
Three contradictory versions of a procedure will give three contradictory answers. Sorting beforehand is part of the project.
Accepting answers without a source
A system that does not cite its documents cannot be checked, so it cannot be used on a subject where something is at stake.
Forgetting access rights
Fixing it after the fact often costs more than the original project.
Five minutes to describe your need
No account to create. We get back to you within 48 business hours, even to say no.