https://github.com/lemon-mint/coord

Coord: A Unified Interface for All Models
https://github.com/lemon-mint/coord

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Coord: A Unified Interface for All Models

• Host: GitHub
• URL: https://github.com/lemon-mint/coord
• Owner: lemon-mint
• License: mit
• Created: 2024-05-04T13:24:32.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-08-28T06:32:16.000Z (10 months ago)
• Last Synced: 2024-08-28T11:12:30.518Z (10 months ago)
• Language: Go
• Homepage:
• Size: 185 KB
• Stars: 10
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Coord

[![GitHub](https://img.shields.io/github/license/lemon-mint/coord?style=for-the-badge)](https://github.com/lemon-mint/coord/blob/main/LICENSE)

[![Go Reference](https://img.shields.io/badge/go-reference-%23007d9c?style=for-the-badge&logo=go)](https://pkg.go.dev/github.com/lemon-mint/coord)

![Coord](https://github.com/lemon-mint/coord/assets/55233766/39050fd3-49d6-4c0c-aa56-487299658871)

## 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.

## Getting Started

- **Installation:** `go get -u github.com/lemon-mint/coord`

- **Documentation:** [https://pkg.go.dev/github.com/lemon-mint/coord](https://pkg.go.dev/github.com/lemon-mint/coord)

- **Examples:** Explore the examples directory for practical implementations.

## Contributions

Contributions to Coord are welcome!  Please submit issues or pull requests to help improve and expand the library.