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ai-agents-from-zero

🚀 2026 The most systematic AI Agent quick guide | Agent practical tutorial · Complete learning path + practical projects + interview question bank · Benchmarking large model application development engineer positions · Covering LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / prompt words · Enterprise-level deployment and fine-tuning · From 0 to enterprise-level implementation + From learning to online projects + Integrated interview preparation

RAG_Techniques

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

Popularity
Repository stars5,77430,197Highest
7-day net stars——
Fork7963,698Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-10-142026-11-02
Maintenance notesNot verifiedNot verified
Repository created2026-01-292024-07-13
License & use
LicenseMIT · PermissiveLicense not declared
License sourceLicense sourceLicense source
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeRetrieval-augmented generation · TutorialsRetrieval-augmented generation · Tutorials
TypeGuides & collectionsGuides & collections
SubcategoryLearning pathsAdvanced guides
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguagePythonJupyter Notebook
About this project🚀 2026 The most systematic AI Agent quick guide | Agent practical tutorial · Complete learning path + practical projects + interview question bank · Benchmarking large model application development engineer positions · Covering LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / prompt words · Enterprise-level deployment and fine-tuning · From 0 to enterprise-level implementation + From learning to online projects + Integrated interview preparationThis repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Repositorydidilili / ai-agents-from-zeroNirDiamant / RAG_Techniques
Measured at2026-11-02 19:00 UTC2026-11-02 18:59 UTC

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