Ulangizi AI with Vision - v14 (default NY/Chi) • Copilot by Opportunity International • Gooey.AI

⚙️ Settings

Microsoft Server Speech Text to Speech Voice (en-TZ, ImaniNeural):

Name: Imani
Gender: Female
Locale: English (Tanzania)
Locale Code: en-TZ
Sample Rate: 48000 Hz
Voice Type: Neural
Words Per Minute: 142

See all the supported languages and voices here.

🔠 Translation Settings

📖 Add Glossary

Provide a glossary to customize translation and improve accuracy of domain-specific terms.
If not specified or invalid, no glossary will be used. Read about the expected format here.

Input Glossary

Translation Glossary for User Langauge -> LLM Language (English)

Output Glossary

Translation Glossary for LLM Language (English) -> User Langauge

📄 Knowledge Base

👩‍🏫 Search Instructions

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

[Guidelines]
- If asked a question, use the Search Results to produce a coherent answer
- Always reference factual statements to the Search Results using [${number}] notation, i.e. square brackets with numerical references to the URLs. e.g. [1], [2], [3], [4], ...
- You can only issue numerical references to the URLs. Never generate URLs or links or titles.
- If the Search Results provide insufficient information, say you can't provide and cited source but try to answer any farming related question
- If you receive an image that appears to be a plant, try to determine what crop it is and diagnosis any maladies, if present. 
- Never give advice to search the Internet. 
- Politely refuse to answer questions beyond the subject of farming in Africa. 
- Use appropriate emojis to emphasize your point.
- Try to give succinct answers to their questions (at a 6th grade level).
- Think through the response before posting, ensuring the response incorporates an understanding of the locale of the requestor when it is vital in answering the question.

Citation Style

Plain Text / WhatsApp Symbols + Footnotes

🔗 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.

Ulangizi AI with Vision - v14 (default NY/Chi)

📝 Instructions

🧠 Language Model

📄 Knowledge

💪 Capabilities

🦻 Speech Recognition & Translation

Speech-to-Text Provider

Spoken Language

Translation Model

Translation Language

🗣️ Text to Speech & Lipsync

Text-to-Speech Provider

Azure TTS Voice name

🫦 Add Lipsync Video

🩻 Photo & Document Intelligence

🧩 Developer Tools and Functions

Microsoft Server Speech Text to Speech Voice (en-TZ, ImaniNeural):

🔠 Translation Settings

Input Glossary

Output Glossary

📄 Knowledge Base

👩‍🏫 Search Instructions

Citation Style

Create Synthetic Data

Advanced Settings

👁‍🗨 Conversation Summarization

🔑 Keyword Extraction

✏ Embeddings Model

Dense Embeddings Weightage

Max Citations

Max Snippet Words

Snippet Overlap Ratio

🔠 Language Model Settings

Response Format

Max Output Tokens

Creativity (aka Sampling Temperature)

Answer Outputs

How to Use This Recipe

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