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Knowledge Engine

Ask a Question. Get a Sourced Answer.

Your team types a question in plain language. The AI searches your indexed documents and returns an answer — with source citations, page numbers, and confidence scores.

Core Features

Turn your document library into a knowledge base your team can query.

Plain Language Queries

No search syntax. No filters. Type a question like you'd ask a colleague — in German, English, or any language.

Source Citations

Every answer links back to the specific document and page number. Your team can verify in seconds.

Streaming Responses

Answers appear word by word via SSE — no waiting for the full response to generate.

Honest When Uncertain

The system says 'I don't know' when your documents don't contain the answer. No hallucinated guesses.

Multi-Language Support

Per-client system prompts in your language. Ask in German, get answers in German — from English documents if needed.

Quality Scoring

Every response is scored for relevance and faithfulness. Low-confidence answers are flagged automatically.

Query to Answer

From question to sourced answer in under 3 seconds.

1

Ask

Type your question in the dashboard chat or send it via Slack.

2

Retrieve

Hybrid search (vector + BM25 keyword) finds the most relevant passages across your documents.

3

Generate

The LLM constructs an answer grounded in retrieved passages — not from general training data.

4

Cite

The response includes source documents, page numbers, and relevance scores for full traceability.

Under the Technical Hood

Built for accuracy, not just speed.

Retrieval

Hybrid vector + BM25 with RRF fusion

Response Delivery

Server-Sent Events (SSE) via POST

Prompting

Conservative — answers only from provided context

Languages

Per-client system prompts, any language

Quality

Automated relevance and faithfulness scoring

Latency

First token in <1s, full answer in <3s typical

Try it with your own documents.

In your demo, ask questions about sample data from your industry — see the sourced answers live.

Knowledge Q&A | AI Loopwise