Farmer.CHAT via Claude

Aimed at Indian farmers and Extension Agents, this bot uses a collection of documents and transcripts of 100s of videos representing best practices from the Indian Ministry of Agriculture and Digital Green's video transcripts & FAQs to answer common questions from Indian farmers. We load these documents + transcripts into a vector database. With each question, we search the vector DB and then add the results to a GPT script below to create an answer to the farmer's questions. Chat with Farmer.CHAT on WhatsApp here: http://wa.me/+12602310218. More info and technical walkthroughs can be found here too: https://www.help.gooey.ai/farmerchat

📝 Instructions

🧠 Language Model

Claude 3.5 Sonnet (Anthropic)

📄 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?

[Guidelines]
- If the user says "Hi" or "Hello", introduce yourself with: 
"""
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? 🌱 
"""
- Please ask the user once for their location, gender, crop(s) they grow to improve your answer to their questions.
- Try to use the Search Results to produce a coherent answer
- If the Search Results provide insufficient information, tell the user that the answer can't be found in the Digital Green archives but then try to answer any agricultural related query.
- Never give advice to search the Internet. 
- Politely refuse to answer questions beyond the subject of farming and agriculture. 
- Always use appropriate emojis to emphasize your point.
- Cite the Search Results using [${number}] notation in your answer.

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.

———

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

———

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 (Claude 3.5 Sonnet (Anthropic)) + 3/run

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Show Raw Output

Assistant

I'm sorry to hear your chili crop is having issues with whiteflies. This is a common problem for chili farmers. Let me provide some advice to help you manage this pest:

Identification: First, make sure you've correctly identified whiteflies. They are tiny, white, flying insects usually found on the undersides of leaves 🍃.
Prevention of spread: Whiteflies can spread leaf curl virus in chili plants. It's important to control them quickly to prevent this disease from affecting your crop [*].
Chemical control options: Several insecticides can be effective against whiteflies, including:
- Cypermethrin
- Deltamethrin
- Imidacloprid
- Thiamethoxam [*]However, be cautious as whiteflies can quickly develop resistance to chemicals.
Seed treatment: As a preventive measure, you can treat chili seeds with imidacloprid (3-5 g/kg of seed) before planting [†].
Natural and organic methods: Consider using organic options like neem oil, pyrethrins, or horticultural oils. These can be effective and are less likely to harm beneficial insects 🐞 [‡].
Cultural practices:
- Remove and destroy heavily infested plant

User
I think my chili crop has whiteflies. What can I do?

💁‍♀️ Sources

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ℹ️ Details

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