NirDiamant / Prompt_Engineering
This repository offers a comprehensive collection of tutorials and implementations for Prompt Engineering techniques, ranging from fundamental concepts to advanced strategies. It serves as an essential resource for mastering the art of effectively communicating with and leveraging large language models in AI applications.
☆2,655Updated last week
Alternatives and similar repositories for Prompt_Engineering:
Users that are interested in Prompt_Engineering are comparing it to the libraries listed below
- This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a…☆5,704Updated last week
- This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information r…☆11,519Updated last week
- Everything you need to know to build your own RAG application☆1,416Updated last week
- This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated …☆991Updated last week
- AI-Driven Research Assistant: An advanced multi-agent system for automating complex research processes. Leveraging LangChain, OpenAI GPT,…☆1,132Updated last month
- Task-Aware Agent-driven Prompt Optimization Framework☆2,430Updated 2 weeks ago
- A toolkit to create optimal Production-readyRetrieval Augmented Generation(RAG) setup for your data☆1,366Updated 3 weeks ago
- Desktop app for prototyping and debugging LangGraph applications locally.☆2,346Updated last week
- Parse files for optimal RAG☆3,573Updated this week
- Building AI agents, atomically☆2,170Updated this week
- Implementing the 4 agentic patterns from scratch☆995Updated this week
- The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices☆2,540Updated 2 weeks ago
- PraisonAI is a production-ready Multi AI Agents framework, designed to create AI Agents to automate and solve problems ranging from simpl…☆3,240Updated this week
- 🦛 CHONK your texts with Chonkie ✨ - The no-nonsense RAG chunking library☆2,338Updated this week
- This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.☆1,176Updated this week
- Deploy your agentic worfklows to production☆1,928Updated this week
- RAG that intelligently adapts to your use case, data, and queries☆2,798Updated last week
- AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation☆3,484Updated this week
- A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.☆2,554Updated last month
- File Parser optimised for LLM Ingestion with no loss 🧠 Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.☆5,180Updated last week
- Graph-Based Editor for LLM Workflows☆1,245Updated this week
- The easiest way to use Agentic RAG in any enterprise☆3,997Updated last week
- A system for agentic LLM-powered data processing and ETL☆1,558Updated this week
- AdalFlow: The library to build & auto-optimize LLM applications.☆2,495Updated this week
- Agent Framework / shim to use Pydantic with LLMs☆5,800Updated this week
- Fully local web research and report writing assistant☆1,154Updated this week
- Dynamiq is an orchestration framework for agentic AI and LLM applications☆679Updated this week
- 🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽�…☆3,377Updated last month
- A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evo…☆505Updated this week
- NVIDIA Ingest is an early access set of microservices for parsing hundreds of thousands of complex, messy unstructured PDFs and other ent…☆2,335Updated this week