# Best Practices

1. Providing a reference to sources in responses increases trustworthiness.
2. Work on the documents chunking strategy like keeping chunk size of 512/768/1024 with text overlap as 150/200 and verify the retrieval results efficiency for minimum of 30 queries.
3. Ensure your prompt has instructions to avoid responding to queries involving politics, political personalities, religion, caste, skin colour or any other sensitive topics. Perform a round of testing of the bot involving these corner cases. 
4. Put a disclaimer (in the bot welcome message or any other suitable place) stating that bot responses are from GenAI and may not be 100% accurate. 
5. Try different embedding models/sentence transformers to verify/improve indexing+retrieval efficiency. You can also refer to <https://huggingface.co/spaces/mteb/leaderboard>
6. Good to know: <https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard> , <https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboard>


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://ai-assistant.sunbird.org/knowledge-base/best-practices.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.