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Research · Intermediate

# Semantic document retrieval and answer generation

Search across internal document stores to answer technical questions with direct source citations.

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Opens BotBento. Paste the prompt into a bot; nothing is preconfigured.

- When you askReceive user question
- ThenRetrieve and rank text passages
- ResultProvide sourced answer

Search through indexed technical documentation, manuals, and internal guides to resolve complex questions. The bot retrieves matching text passages, ranks relevance, and synthesizes concise explanations with references to original files so team members can verify information quickly.

## Prompt to start with

BotBentoRecommended

```
When a team member submits an inquiry in chat, query the connected documentation database to retrieve relevant sections. Synthesize the findings into a clear answer with direct links and quotes from the source documents. If no relevant material is found, state that clearly instead of guessing. Ask for user approval before posting answers to public announcement channels or sending email summaries to external stakeholders.
```

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## Tools it uses

DocsDatabaseChat

## Works with

BotBento

## Tags

- rag
- search
- docs
- retrieval
- knowledge-base

## Source

[haystack: Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipeline](https://github.com/deepset-ai/haystack)
GitHub · checked 2026-10-15

Summarized in our own words. Any results described there are the authors’ own, not measured by BotBento.

By BotBento Editorial · Added 2026-10-15 · Updated 2026-10-15 · [Suggest a correction](/contact/)

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