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Internal tooling

نموذج مرجعي

Answers from scattered internal docs, with citations

A retrieval-augmented agent that answers employee questions across scattered internal documentation and cites the source, cutting time spent hunting for answers by 76%.

76%less time searching

لمحة سريعة

المدة
13 أسبوعاً
حجم الفريق
1 شخص
نوع التعاقد
بناء جديد
نوع المشروع
ذكاء اصطناعي وأتمتة
القطاع
B2B SaaS

الوضع

التحدي

Internal knowledge is spread across wikis, drives and threads, and it goes stale unevenly. An assistant that answers confidently from an outdated page is worse than no assistant, because it is believed.

ما الذي فعلناه

Retrieval over generation, with citations mandatory and freshness treated as a ranking signal.

القرارات التي صنعت الفارق

  • Citations are not optional

    Every answer links the documents behind it. Without that, nobody can tell a good answer from a fluent one.

  • Freshness weighted in retrieval

    Recency contributes to ranking so a superseded page does not outrank the document that replaced it.

ما الذي تغيّر

reduction in search time
76%reduction in search time
of answers carry a source citation
100%of answers carry a source citation

76% less time spent searching, with every answer traceable to the documents it came from.

الخدمات المستخدمة

  • Ingestion and chunking pipeline across document sources
  • pgvector retrieval with freshness-weighted ranking
  • Cited answer interface

ما الذي كنا سنفعله بشكل مختلف

لكل مشروع واحدة من هذه. ونشرها هو المقصد — فدراسة حالة بلا ندم فيها تسويق لا دليل.

Retrieval quality set the ceiling on everything. Effort spent on chunking and freshness paid back far more than any prompt work did.

الخدمات المستخدمة

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