Examples

Comprehensive Jupyter notebook examples demonstrating all MeetKai MKA1 capabilities with multilingual support (Urdu, Spanish, English, Portuguese).


Chat Completions

Build conversational AI with our multilingual models. Support for streaming responses, multi-turn conversations, and specialized Urdu and Spanish models. OpenAI-compatible for seamless integration.

Models: meetkai:functionary-urdu-mini-pak, meetkai:functionary-es-mini

Perfect for: Chatbots, virtual assistants, content generation

Check on Colab

Text Embeddings

Convert text into semantic vectors for similarity search, clustering, and recommendations. Process up to 2,048 texts in a single batch request. OpenAI-compatible API.

Key Feature: Batch processing with semantic similarity

Perfect for: Search engines, recommendations, duplicate detection

Check on Colab

Feedback Collection

Track user satisfaction with thumbs up/down ratings and detailed feedback. Link feedback to completion IDs for comprehensive quality monitoring and analytics.

Key Feature: Feedback with 2000-character descriptions

Perfect for: Quality monitoring, user satisfaction tracking, A/B testing

Check on Colab

Text-to-Speech

Convert text to natural speech in 20+ languages with automatic detection. Choose between standard (WAV) or streaming (MP3) modes for low-latency applications.

Languages: Urdu, Spanish, English, Arabic, Portuguese and 15+ more

Perfect for: Voice assistants, accessibility, language learning

Check on Colab

Image Generation

Create AI-generated images from text descriptions. Generate up to 10 variations with customizable sizes (up to 1792px), quality levels, and artistic styles.

Model: meetkai:z-image-turbo

Perfect for: Marketing content, social media, design prototypes

Check on Colab