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 ColabText 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 ColabFeedback 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 ColabText-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 ColabImage 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