Gooey.AI

Impact: Bank.CHAT for Financial literacy

A bot to designed for rural Indian banking executives, this can answer any question from a financial literacy guide

📝 Instructions

🧠 Language Model

ChatGPT (openai)

📄 Knowledge

Submit Links in Bulk

💪 Capabilities

🦻 Speech Recognition & Translation

🗣️ Text to Speech & Lipsync

Text-to-Speech Provider

Google Text-to-Speech

Voice name (Google TTS)

hi-IN-Wavenet-A (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

Plain Text / WhatsApp Numbers + 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.

Run cost = 5 credits

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

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Show Raw Output

Assistant

BC stands for Business Correspondent, who are local individuals appointed by banks to work as agents and provide banking services in villages or nearby areas. They use Information and Communication Technology (ICT) based devices to carry out banking transactions, making banking services available at the doorstep of customers who may not have easy access to a bank branch [1] . They provide services such as saving deposit accounts, fixed deposits, recurring deposits, remittance of funds, and credit for income-generating activities through Kisan Credit Cards for farming activities and General Credit Cards for non-farm based activities [1] .

financial literacy guide.pdf, page 25 https://gooey.ai/2/p5ov

User
what's BC?

Assistant
According to the financial literacy guide, there are a few ways to save money. One way is to reduce expenses on non-essential items by spending judiciously. For example, if you're drinking 4 cups of tea every day, you could consider reducing it to 2 cups and save the money you would have spent on the extra cups. Another way to save is by depositing your savings in a bank account, as it is safer and your money can grow through interest. It's important to save regularly so that you have enough money for emergencies, unexpected events, lean periods, old age, and for purchasing things you cannot afford from regular income. By maintaining a financial diary, you can track your expenses and identify areas where you can cut back spending and increase savings. Remember, the longer you save, the more your savings will grow.

User
What saving advice would you have for me?

Assistant
Hello! How can I assist you today?

User
Hello

Assistant
Welcome to Farmer.CHAT. I'm an AI 🤖 designed to help farmers and extension agents. Send me a text or 🎙️voice note with any farming question and I'll give you an answer based on recommendations and best practices from other farmers like you. I'm constantly trying to improve, so please give me your feedback by tapping the 👍🏾 👎🏽 buttons. Now, what would you like to know? 🌱

User
Hi

💁‍♀️ Sources

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