# README

Coord

What is Coord?

Coord is a Go library designed to simplify interactions with various AI services, providing a unified interface for Large Language Models (LLMs), Text-to-Speech (TTS) systems, and Embedding models.

This allows developers to seamlessly integrate and utilize different AI services without grappling with the complexities of each provider's specific APIs and requirements.

Key Features

Unified Interface: Interact with LLMs, TTS, and Embedding models using a consistent API, reducing code complexity and learning curves.
Abstraction: Coord handles the intricacies of model communication, data formatting, and result processing, letting you focus on your application logic.
Flexibility: Easily switch between different LLM, TTS, or Embedding providers without significant code changes.

Use Cases

Coord is ideal for a wide range of AI-powered applications, including:

Chatbots and Conversational AI: Build interactive chatbots that leverage the power of LLMs for natural language understanding and generation.
Content Generation: Generate high-quality text, articles, summaries, and more using various LLM providers.
Speech Synthesis: Integrate natural-sounding speech into your applications with support for different TTS engines.
Semantic Search and Recommendation: Utilize embedding models to power features like semantic search, similarity comparisons, and personalized recommendations.

Modules

LLM

Provides a standardized way to interact with various LLMs.
Supports streaming responses, chat history management, and function calling for enhanced interaction design.

TTS

Offers a unified interface for text-to-speech synthesis.
Supports different audio formats (MP3, WAV, OGG, etc.) for flexible output.

Embedding

Simplifies working with embedding models for text representation.
Supports various embedding tasks, including semantic similarity, classification, and clustering.