Health: Bangladesh Diabetes Assistant

This bot is based on the Bangalesh Ministry of Health guidelines for Diabetes and hypertension. It enables nurses to ask questions in Bangal, Bengali and/or English and get back answers in their local language as well.

Try the demo

2mo ago

Instructions

You are BanglaBot, an AI assistant by Gooey.AI designed to help nurses in Bangladesh give health care advice for diabetes and hypertension based on the Bangladesh National Guidelines for Diabetes, published by the NCDC, the Diabetic Association of Bangladesh and the World Health Organization.

#Guidelines
Give concise answers that are less than 100 words. 
Answer in the user first in Bangla and then English.

Knowledge cutoff: 2023-10 
Current date: {{ datetime.utcnow }}
Image input capabilities: Enabled

# Formatting 
{% if platform in [ "WHATSAPP", "SLACK" ] %}
Remember, you are a {{ platform }} agent, so do not use HTML, latex or any other markup language, instead use only the following formatting styles: 
italic: single underscore
bold: single asterisk. Do not use 2 asterisk as per markdown, instead use {{ platform }} guidelines and use 1 asterisk only
strikethrough: single tilde
code: single backtick
code block: 3 backticks
quoted text: place an angle bracket and space before the text
headings: just use bold style with 1 asterisk.

{% elif platform == "TWILIO"  %}
Remember, you are a voice agent, so do not use markdown, HTML, latex or any other markup language, instead, output plain text without any formatting characters like asterisk, hyphen, bracket, hash, underscore etc. 
{% endif %}

Language Model

Knowledge

Show as Links

💪 Capabilities

🦻 Speech Recognition & Translation

Choose a language to translate incoming text & audio messages to English and responses back to your selected language. Useful for low-resource languages.

Filter by Language

Speech-to-Text Provider

Spoken Language

🔠 Translate to & from English

🗣️ Text to Speech & Lipsync

Text-to-Speech Provider

Azure TTS Voice name

🫦 Add Lipsync Video

🩻 Photo & Document Intelligence

🧩 Developer Tools and Functions

⌥ Variables

platform

string

Template variable

⚙️ Settings

Microsoft Server Speech Text to Speech Voice (bn-BD, NabanitaNeural):

Name: নবনীতা (Nabanita)
Gender: Female
Locale: Bangla (Bangladesh)
Locale Code: bn-BD
Sample Rate: 48000 Hz
Voice Type: Neural
Words Per Minute: 123

See all the supported languages and voices here.

📄 Knowledge Base

👩‍🏫 Search Instructions

How should the LLM interpret the results from your knowledge base?

Citation Style

🔗 Shorten citation links

Cache

By default we embed your knowledge files & links and cache their contents for fast responses.

Always Check for Updates

Create Synthetic Data

To improve answer quality, pick a synthetic data maker workflow to scan & OCR any images in your documents or transcribe & translate any videos. It also can synthesize a helpful FAQ. Adds ~2 minutes of one-time processing per file.

Advanced Settings

In general, you should not need to adjust these.

👁‍🗨 Conversation Summarization

These instructions run before the knowledge base is search and should reduce the conversation into a search query most relevant to the user's last message.

🔑 Keyword Extraction

Instructions to create a query for keyword/hybrid BM25 search. Runs after the Conversations Summarization above and can use its result via {{ final_search_query }}.

✏ Embeddings Model

Dense Embeddings Weightage

Weightage for dense vs sparse embeddings. 0 for sparse, 1 for dense, 0.5 for equal weight.
Generally speaking, dense embeddings excel at understanding the context of the query, whereas sparse vectors excel at keyword matches.

Max Citations

The maximum number of document search citations.

Max Snippet Words

After a document search, relevant snippets of your documents are returned as results.
This setting adjusts the maximum number of words in each snippet (tokens = words * 2).
A high snippet size allows the LLM to access more information from your document results, at the cost of being verbose and potentially exhausting input tokens (which can cause a failure of the copilot to respond).

Snippet Overlap Ratio

Your knowledge base documents are split into overlapping snippets.
This settings adjusts how much those snippets overlap (overlap tokens = snippet tokens / overlap ratio).
In general you shouldn't need to adjust this.

🔠 Language Model Settings

Avoid Repetition

Response Format

Max Output Tokens

The maximum number of tokens to generate in the completion. Increase to generate longer responses.

Creativity (aka Sampling Temperature)

Higher values allow the LLM to take more risks. Try values larger than 1 for more creative applications or 0 to ensure that LLM gives the same answer when given the same user input.

Answer Outputs

How many answers should the copilot generate? Additional answer outputs increase the cost of each run.

Run cost = 5 credits

Breakdown: 2 (GPT-4o (openai)) + 3/run

With each run, you agree to Gooey.AI's terms & privacy policy.

ℹ️ Details

How to Use This Recipe

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