Claude 3.5 Sonnet

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

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

🗣️ Text to Speech & Lipsync

🔠 Translation & Speech Recognition

🩻 Photo & Document Intelligence

🧩 Developer Tools and Functions

⚙️ Settings

📄 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.

🛠️ Tools

Give your copilot superpowers by giving it access to tools. Powered by Function calling.

Save JSON as PDF

Run cost = 5 credits

Breakdown: 2 (Claude 3.5 Sonnet (Anthropic)) + 3/run

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Show Raw Output

Assistant

I understand you're concerned about whiteflies on your chili crop. This is a common issue for many farmers. Here's what you can do to manage the problem:

Identify the infestation 🔍:
- Look for tiny white insects on the undersides of leaves [2]- Check for curling leaves and a shiny substance (honeydew) on the leaves [1] [2]2. Control measures 🌿:
- Use insecticides: Some effective options include cypermethrin, deltamethrin, imidacloprid, and acetamiprid [1]. However, be cautious as whiteflies can develop resistance to chemicals quickly.
- Try natural predators: Encourage beneficial insects like ladybirds, chrysoperla, and predatory wasps in your field [2]. These natural enemies can help control whitefly populations.
- Use sticky traps: Yellow sticky traps can help monitor and reduce whitefly populations [2].
Prevention 🚫:
- Practice crop rotation to disrupt the whitefly life cycle [2]- Avoid excessive use of nitrogen fertilizers, as this can attract whiteflies [2]- Regularly monitor your crop for early signs of infestation [2]

Remember, it's important to act quickly

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

💁‍♀️ Sources

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ℹ️ Details

How to Use This Recipe

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