SithraBot/synthetic

A Kotlin-first LLM toolkit offering unified API for AI models (OpenAI, HuggingFace, DeepSeek, custom) and modular data storage. Features agent-enabled architecture with async RAG capabilities and zero boilerplate.

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Experimental

This is a Kotlin/JVM library for developers who need to build custom applications powered by large language models (LLMs) and retrieval-augmented generation (RAG). It takes in various AI models (like OpenAI, HuggingFace) and different data sources (vector databases, SQL/NoSQL, files), and outputs custom AI applications capable of sophisticated natural language processing and information retrieval. It's designed for developers building complex, scalable AI solutions.

No commits in the last 6 months.

Use this if you are a Kotlin/JVM developer building LLM-driven applications and need maximum flexibility in integrating different AI models and data storage systems.

Not ideal if you are looking for a pre-built, low-code solution for general LLM usage without deep custom development.

AI-application-development Kotlin-development LLM-integration RAG-system-building Agent-frameworks
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 0 / 25

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Stars

14

Forks

Language

Kotlin

License

Apache-2.0

Last pushed

Mar 01, 2025

Commits (30d)

0

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