Unlocking Generative AI Development: Leveraging Testcontainers Go for Seamless Building and Testing

This project showcases the use of Testcontainers in Golang to establish an efficient development environment for Generative AI applications. It consists of various examples:

1. hello-world: Generates text using a language model.
2. streaming: Demonstrates text generation in streaming mode.
3. chat: Implements text generation for chat applications.
4. vision-model: Extracts text from images using a vision model.
5. augmented-generation: Enhances prompts with additional context for improved output.
6. embeddings: Generates text embeddings and calculates similarities.
7. rag: Introduces Retrieval-Augmented Generation for optimized responses.
8. testing: Evolves testing methodologies using Evaluator Agents.
9. huggingface: Integrates HuggingFace models with Docker.
10. functions: Illustrates using functions with language models.

The project requires Go 1.23+, Docker, and Docker Model Runner. Models can be pulled from Docker Hub, and necessary Docker images are also provided for running the examples effortlessly.

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