llmkit
CommunityEfficient and auditable LLM extraction for structured data
Authorhsigstad
Version1.0.0
Installs0
System Documentation
What problem does it solve?
LLMKit addresses the challenge of structured LLM extraction, offering a framework for creating, caching, and validating AI-generated structured data for academic research.
Core Features & Use Cases
- Structured Data Extraction: Extracts data from text using pre-defined schemas and LLM models.
- Caching: Caches results for efficient access and reuse.
- Auditable: Maintains detailed logs for each extraction, ensuring reproducibility and traceability.
- Use Case: Use LLMKit in a research project to structure and analyze large-scale text data, enabling accurate and efficient data processing for academic research.
Quick Start
Run the LLMKit extract command with the necessary arguments to generate structured data from your text inputs.
Dependency Matrix
Required Modules
llmkitpydantic
Components
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: llmkit Download link: https://github.com/hsigstad/research-kit/archive/main.zip#llmkit Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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