Content par jayen

Internal tooling

Reference build

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

Aik nazar mein

Muddat
13 hafte
Team ka hajm
1 fard
Muahide ki naueeyat
Nayi tameer
Project ki qism
AI aur automation
Shoba
B2B SaaS

Soorat-e-haal

Challenge kya tha

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 An assistant that answers confidently from an outdated page is worse than no assistant, because it is believed.

Hum ne kya kiya

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

Wo faisle jo aham the

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    Recency contributes to ranking so a superseded page does not outrank the document that replaced it.

Kya badla

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.

Istemal shuda khidmaat

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

Hum kya mukhtalif karte

Har mansoobe mein aisi aik baat hoti hai. Ise shaya karna hi asal nukta hai — jis case study mein koi pachhtawa na ho wo saboot nahi, tashheer hai.

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

Istemal shuda khidmaat

Mazeed kaam

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