The AI framework that adds the engineering to prompt engineering (Python/TS/Ruby/Java/C#/Rust/Go compatible)
The OllaLab-Lean project is designed to help both novice and experienced developers rapidly set up and begin working on LLM-based projects.
A standardized framework for enhancing how LLMs process and respond to prompts through composable decorators, featuring an official open standard specification and Python reference implementation with MCP server integration.
AI Prompt Library: Curated prompts with metadata automation, documentation, and dynamic CLI. Execute AI prompts in CI pipelines or local workflows. Customizable toolkit for building AI-powered processes and personal assistants.
Templates and workflow for generating PRDs, Tech Designs, and MVP using LLMs and AI IDE agents (Copilot/Cursor)
About AIプロンプトの効率的な管理と活用を目的としたリポジトリです。
In LangChain for LLM Application Development, you will gain essential skills in expanding the use cases and capabilities of language models in application development using the LangChain framework. Includes code compatible with Ollama, ChromaDB and Pinecone.
Your local-first tool for creating explicit, modular, and testable AI prompts.
vscode language extension for structured prompt language
Successfully developed an interview preparation guide using Langchain which can effectively guide users in their interview preparation process and job search journeys by providing valuable insights and feedback regarding their performance. It generates a comprehensive list of questions pertaining to a user query as well.
A powerful CLI tool for managing AI prompts with modern features.
Successfully developed an interview preparation guide using Langchain which can effectively guide users in their interview preparation process and job search journeys by providing valuable insights and feedback regarding their performance. It generates a comprehensive list of questions pertaining to a user query as well.
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