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Use Case
AI Knowledge Search (RAG)
Search and answer across your own documents with cited, grounded responses.
The problem
Knowledge is trapped in documents; keyword search cannot answer questions.
Workflow
- 01
Content ingested continuously
- 02
Semantic index built
- 03
User asks a question
- 04
Cited answer returned
AI Architecture
- Ingestion pipeline
- Embeddings + vector store
- Hybrid search
- LLM generation with citations
Implementation time
3–8 weeks
Cost range
$12,000 – $45,000
Expected ROI
Time-to-answer from hours to seconds (internal estimate)
Integrations
ConfluenceSharePointNotionDriveTickets
Ready to build this?
$12,000 – $45,000 typical range · 3–8 weeks typical timeline. Book a call to scope it properly.