Search & ResearchAdvanced

Internal Knowledge Base

Q&A over your entire company knowledge

Build a Q&A system over your internal wikis, Notion pages, Confluence docs, and Slack archives so employees get instant, sourced answers instead of spending hours searching or waiting for a colleague's reply.

RECOMMENDEDGoogle

Gemini 1.5 Flash

INPUT / 1M$0.07
OUTPUT / 1M$0.30
CONTEXT1.0M
SPEED99/100
CODING SCORE
72
REASONING SCORE
76
ESTIMATED MONTHLY COST

for 3,000K tokens/month · 88% input / 12% output

$0.31

WHY THIS MODEL

Gemini 1.5 Flash handles the high query volume of internal search systems without breaking the infrastructure budget. Its fast response times keep the Q&A experience feeling instant, while its broad knowledge base covers the wide range of topics employees ask about.

ALTERNATIVE MODELS

IMPLEMENTATION TIPS

  1. 1

    Implement hybrid search (BM25 + vector embeddings) for retrieval — keyword search catches exact policy names and version numbers that semantic search misses, while vector search handles paraphrased questions.

  2. 2

    Always include the source document title, URL, and last-updated date alongside each retrieved chunk in the prompt — the model can include citations in its answer, and users can verify freshness instantly.

  3. 3

    Set up automated re-indexing on document change events via webhooks — a knowledge base where 20% of answers are stale erodes trust faster than having no system at all.

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