Introducing Langtorch, a new and powerful library for building composable LLM (Large Language Model) applications using the Java programming language.
Langtorch aims to provide developers with a robust and flexible framework to create LLM-based applications with ease.
The library is still in active development, and while it's not yet ready for production use, it's already showing a lot of promise in terms of its features and capabilities. Some of the key features implemented in Langtorch include:
Prompt Template and Annotation Based Prompt
OpenAI LLM Provider
Input and Output Parser
Capability Unit, Capability Node, and Capability DAG
Capability Agent
Langtorch also has a roadmap for adding more features, such as providing more pre-built capability units and nodes, adding annotation-based LLM services, and implementing memory.
Langtorch is inspired by libraries like langchain, showcasing its commitment to building on existing foundations to create innovative and effective solutions.
For those interested in getting started with Langtorch, the library is available on Maven Central Repo, and while the documentation is still being worked on, it's a good place to start exploring this exciting new project.
Please note that Langtorch is still in active development and not ready for production use. Nonetheless, it's an exciting project that holds great potential for the future of LLM application development.
I understand that python is the go-to language when it comes to developing AI/LLM applications. But with foundational models nowadays, http request decouples the tie.
Java has broad audience and static language would help developer find bugs quickly and easily.
The library is still in active development, and while it's not yet ready for production use, it's already showing a lot of promise in terms of its features and capabilities. Some of the key features implemented in Langtorch include:
Prompt Template and Annotation Based Prompt OpenAI LLM Provider Input and Output Parser Capability Unit, Capability Node, and Capability DAG Capability Agent Langtorch also has a roadmap for adding more features, such as providing more pre-built capability units and nodes, adding annotation-based LLM services, and implementing memory.
Langtorch is inspired by libraries like langchain, showcasing its commitment to building on existing foundations to create innovative and effective solutions.
For those interested in getting started with Langtorch, the library is available on Maven Central Repo, and while the documentation is still being worked on, it's a good place to start exploring this exciting new project.
Please note that Langtorch is still in active development and not ready for production use. Nonetheless, it's an exciting project that holds great potential for the future of LLM application development.
Check out the project on GitHub: https://github.com/Knowly-ai/Langtorch