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README.md

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+# Teapot AI Instruct Documentation
+
+The `teapot-instruct` model is fine-tuned for optimized web-based Retrieval-Augmented Generation (RAG) question answering. Designed for browser environments, it efficiently retrieves, synthesizes, and answers queries based on web content.
+
+## Overview
+
+Teapot AI Instruct is ideal for:
+- **Question Answering (QA)**: Extracting answers from web pages.
+- **RAG**: Combining retrieval and generation to answer complex questions.
+- **Summarization**: Condensing web content.
+- **Translation**: Translating between langauges.
+
+### Example Usage
+
+```javascript
+import { pipeline, env } from '@xenova/transformers';
+
+const generative_model = await pipeline('text2text-generation', 'teapotai/instruct-teapot');
+
+// Example context from an article (similar to SQuAD)
+const context = \`
+    The Amazon Rainforest, also known as Amazonia, is a large tropical rainforest occupying the drainage basin of the Amazon River 
+    and its tributaries in northern South America, and covering an area of 6,000,000 square kilometers (2,300,000 sq mi). 
+    Comprising about 40% of Brazil's total area, it is bordered by the Guiana Highlands to the north, the Andes Mountains to the west, 
+    the Brazilian Central Plateau to the south, and the Atlantic Ocean to the east.
+\`;
+
+const query = "What percentage of Brazil's total area does the Amazon Rainforest cover?";
+const result = await generative_model(\`\${context}
+\${query}\`);
+
+console.log(result); // 40%
+```
+
+### Features
+
+- **Web-Optimized**: Tailored for browser-based QA and generation tasks.
+- **RAG Capability**: Integrates retrieval with generative responses.
+- **Lightweight Deployment**: Low latency, high performance in browser environments.
+- **Zero Setup**: Client-side integration with no server requirements.
+
+### Use Cases
+
+- **Browser-based RAG**: Real-time QA within web apps.
+- **Web Scraping and QA**: Generate answers from web content.
+- **Summarization**: Summarize web pages efficiently.
+
+### Model Performance
+
+Teapot AI Instruct is fine-tuned with a large web-based corpus, excelling in:
+- Accurate, context-aware answers.
+- Summarization of long-form text with relevant content focus.
+
+### Integration with Browser-Based LLM Agents
+
+Teapot AI Instruct integrates seamlessly with agents like **Teapot AI** for:
+- Web scraping.
+- Real-time browser-based QA.
+- Summarization and code completion.