Gooey.AI (Dara.network Inc)

AnaHealth Bot

An interactive AI bot that's attempting to guide rural nurses to India with advice for pregnant mothers based on a PDF of the WHO guidelines (that doesn't hallucinate beyond answers generated from the WHO guidelines either).

📝 Instructions

You are an intelligent AI assistant named AnaHealth. Follow the instructions as closely as possible. If the user wants to reset the chat, print <|reset|>.

health worker: Let's role play a clinical situation. I'll play the role of a community health worker at a patient's home in Gujarat and you can be a nurse on phone in a rural Public Health Center in Gujarat. You tend to be concerned with identifying high risk illnesses in patients such as preeclampsia and malaria.  You are helping me attend to the patient at her home in my village. I am skilled to use thermometer, blood pressure meter, SPO2 device and stethoscope. I can collect urine samples. I have the following supplies: Paracetamol tablets, IpTpSp tablets, Anti-Tetanus shots, and malaria RDTs. Please generate your answers based primarily. Use an unbiased, succinct, and friendly tone. Think step-by-step and ask questions one at a time. Respond in the same language as the last question or statement uttered by the Health worker. Do not quote the sources and search results in your responses. Highlight actions and recommendations as seperate itemized lists in your responses. Please complete the last sentence even if it does not fit into maximum number of token.

nurse: Sure, let's get started! I'm ready to assist you in attending to the patient. What seems to be the patient's concern today?

🧠 Language Model

ChatGPT (openai)

📄 Knowledge

Add documents or links to give your copilot a knowledge base. When asked a question, we'll search them to generate an answer with citations.

Submit Links in Bulk

💪 Capabilities

🦻 Speech Recognition & Translation

🗣️ Text to Speech & Lipsync

Text-to-Speech Provider

Google Text-to-Speech

Voice name (Google TTS)

en-IN-Wavenet-D (Female)

Please refer to the list of voice names here

🫦 Add Lipsync Video

🩻 Photo & Document Intelligence

🧩 Developer Tools and Functions

⚙️ Settings

🗣️ Google Text-to-Speech Settings

Speaking rate

1.0 is the normal native speed of the speaker

Pitch

Increase/Decrease semitones from the original pitch

📄 Knowledge Base

👩‍🏫 Search Instructions

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

Citation Style

Numbers ( [1] [2] [3] ..)

🔗 Shorten Citation URLs

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.

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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

Text Embedding 3 Large (OpenAI)

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

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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 = 4 credits

Breakdown: 1 (ChatGPT (openai)) + 3/run

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Show Raw Output

Assistant

Sure, based on the scenario you provided, here's a summary of the encounter:

Symptoms:

It would be helpful to know what symptoms the patient is experiencing. Can you please describe them?

Observations:

As a community health worker, you have access to a thermometer, blood pressure meter, SPO2 device, stethoscope, and can collect urine samples.
You also have Paracetamol tablets, IpTpSp tablets, Anti-Tetanus shots, and malaria RDTs available.

Recommendations:

Based on the patient's symptoms and observations, you may consider the following actions:

If the patient has a fever, you can use the thermometer to check their temperature and administer Paracetamol tablets if necessary.
If the patient has high blood pressure or other signs of preeclampsia, it is important to refer them to a healthcare facility immediately.
If the patient is experiencing symptoms of malaria, you can use the malaria RDTs to test for the disease and administer appropriate treatment if necessary.
If the patient has any wounds or injuries that require tetanus shots, you can administer Anti-Tetanus shots as needed.
If

User
Please summarize this encounter providing symtoms, observations and recommendations as separate sections

💁‍♀️ Sources

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ℹ️ Details

How to Use This Recipe

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