embedding-models
π―Skillfrom vanman2024/ai-dev-marketplace
|Generates and manages embeddings for text data using advanced AI models, enabling semantic search and machine learning applications.
Part of
vanman2024/ai-dev-marketplace(73 items)
Installation
git clone https://github.com/vanman2024/ai-dev-marketplace.gitMore from this repository10
Demonstrates comprehensive testing strategies and design patterns for robust software quality assurance and test-driven development.
Generates AI-powered content across various formats like blog posts, articles, scripts, and marketing copy with customizable parameters.
Enables seamless speech-to-text conversion by integrating advanced transcription services into AI workflows and applications.
Implements retrieval-augmented generation (RAG) for enhanced AI query responses using advanced document indexing and semantic search techniques.
Enables seamless integration and interaction with Supabase database services for AI-powered development workflows and applications.
Enables advanced document retrieval and semantic search across multiple data sources using configurable AI-powered pattern matching techniques.
Automates production deployment workflows, streamlining infrastructure setup, configuration management, and continuous delivery across cloud environments.
Comprehensive ElevenLabs AI audio integration for voice-enabled applications with TTS, STT, voice cloning, and Vercel AI SDK support
Optimizes memory usage and performance for AI models by intelligently managing memory allocation and reducing computational overhead.
Integrates Avaya A2A communication platform with Mitel Cloud Platform, enabling seamless enterprise communication workflows.