dshills/wiggle
Multi-Node LLM Processing Framework
Wiggle helps developers build custom, intelligent applications that use Large Language Models (LLMs) to process information. It takes raw data, applies a series of LLM-powered steps, and outputs structured results, even when dealing with very large datasets or complex workflows. This is for software engineers who need to integrate LLMs into robust, scalable applications.
No commits in the last 6 months.
Use this if you are a Go developer building an application that needs to chain multiple LLMs, integrate external data sources like vector databases, or process large datasets by distributing tasks across multiple computing nodes.
Not ideal if you are looking for a pre-built, no-code solution or a Python library, as this is a Go-based framework for custom application development.
Stars
23
Forks
2
Language
Go
License
MIT
Category
Last pushed
Oct 16, 2024
Commits (30d)
0
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