Queries in your users’ words
Formal and informal Arabic, regional vocabulary, mixed-language terminology, and ambiguous requests against Arabic or English sources.
Bayanat Search
Arabic queries paired with the evidence that answers them.
Give your search or RAG system examples of what a useful result looks like. We create queries, relevance judgments, and grounded answers from the documents your product uses.
اقرأ بالعربيةIs Bayanat Search the right fit?
A good fit if
- You are building Arabic or bilingual enterprise search, reranking or RAG.
- You need graded relevance, hard negatives and unanswerable questions built from your own documents.
- Your users ask in Arabic, or mix Arabic and English, while some sources are in English.
What you can check before you commission
We separate what is confirmed on this page, what we send on request, and what is agreed for each project.
| Item | Status | Details |
|---|---|---|
| Volume | Per project | Built to order around your corpus. Query count and relevance depth are agreed with you. |
| Relevance scale | Confirmed | Judgments distinguish direct evidence, useful background and passages that mention a topic without answering the question. |
| Hard negatives | Confirmed | Outdated policies and rules for a different customer group, when they resemble the right answer. |
| Unanswerable questions | Confirmed | Included so you can train and test what the system does when evidence is missing. |
| Arabic queries over English sources | Confirmed | A custom dataset can pair Arabic or mixed Arabic-English queries with English documents. |
| Open worked example | Confirmed | Our free, synthetic Arabic Retrieval Starter Kit shows the format: Gulf and MSA questions, graded qrels, outdated-policy hard negatives and unanswerable questions. See the starter kit |
| Sample judgments and reviewer reasoning | On request | Review them, including disagreements, before production. |
What we can build together
Graded relevance
Judgments distinguish direct evidence, useful background, and passages that mention a topic without answering the question.
Difficult alternatives
Outdated policies and rules for a different customer group make useful hard negatives when they resemble the right answer.
Grounded answers
Answers link to exact evidence. Include questions the sources cannot resolve, so missing information is part of the training.
How the license covers each use
Training rights do not automatically include display, retrieval or redistribution. Each use is set in the agreement.
Your corpus
Authorized documents, versions and effective dates you choose.
Delivered judgments
Use and delivery rights are set in the agreement.
How we put the data together
Choose the sources
Start with authorized documents, their versions, and effective dates in one domain.
Review the judgments
Check sample queries, relevance grades, and reviewer reasoning, including cases where reviewers disagree.
Evaluate both steps
Test whether retrieval finds the right passage and whether the answer stays faithful to it. Keep test queries separate from training.
For example: Finding the current returns policy
A user asks informally whether an order can be returned. The right passage comes from the current policy for that customer, even if an old version has almost identical wording.
Scope your request
Tell us these details. We come back with a fixed-scope pilot plan.
- Your corpus and its languages
- The questions users ask
- Relevance scale and number of queries
- Grounded answers needed?
- Timeline
Common questions
Can Arabic queries retrieve English documents?
Yes. A custom dataset can pair Arabic or mixed Arabic-English queries with English sources. This is useful when employees ask questions in Arabic but company documentation is written in English.
Why include questions with no answer in the source documents?
They help you train and test what the system does when evidence is missing. The expected response may be to ask for a detail or explain that the available sources do not establish an answer.