Shifta-Robel/SeedFrame

A clean, macro-driven Rust library for building LLM applications.

33
/ 100
Emerging

This is a Rust library that helps developers integrate large language models (LLMs) into their applications. It takes various data inputs, such as files or API data, processes them, and uses LLMs to generate structured outputs, perform tool calls, or answer complex queries. Software engineers and AI application developers would use this to build sophisticated LLM-powered features.

No commits in the last 6 months.

Use this if you are a Rust developer looking for a structured, modular way to build applications that leverage LLMs for tasks like retrieval-augmented generation (RAG), structured data extraction, or function calling.

Not ideal if you are not a Rust developer or if you need a no-code/low-code solution for building LLM applications.

AI-application-development LLM-integration backend-development natural-language-processing data-ingestion
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 6 / 25

How are scores calculated?

Stars

12

Forks

1

Language

Rust

License

MIT

Last pushed

Apr 30, 2025

Monthly downloads

64

Commits (30d)

0

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