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Explore the skillDeep RAG
boluo2077
🔍 Deep RAG: Advanced Retrieval-Augmented Generation system that goes beyond vector search. Enables AI to perform multi-hop reasoning, negation queries, numerical compar…
OPENAGENTSKILL / DIRECTORY
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2026년 10월 14일부터 이 사이트가 반환한 파일입니다. 로그인 계정별로 같은 Skill은 UTC 하루에 한 번 집계합니다. 외부 다운로드, 명령 복사, 설치는 제외합니다. 최대 5분 지연됩니다.
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Explore the skillboluo2077
🔍 Deep RAG: Advanced Retrieval-Augmented Generation system that goes beyond vector search. Enables AI to perform multi-hop reasoning, negation queries, numerical compar…
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Explore the skillAnkitNayak-eth
CrawlAI RAG is an AI-powered website intelligence platform that allows users to crawl entire websites, index their content, and ask natural-language questions using Retr…
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Explore the skillKain-90
An interactive visualization tool for understanding Retrieval-Augmented Generation (RAG) pipelines.
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Explore the skillalphapro-club
Launching the "Agent Creation Toolkit", providing developers with an intuitive and efficient Development Environment, supporting the rapid construction of intelligent ag…
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Explore the skillChinaYiqun
This RAG (Retrieval-Augmented Generation) project is implemented using pure Java. This approach makes it easier to adapt to enterprise-level environments and is more con…
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Explore the skillQingFei1
[EMNLP 2024] LongRAG: A Dual-perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering
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Explore the skillibm-self-serve-assets
Build Enterprise RAG (Retriver Augmented Generation) Pipelines to tackle various Generative AI use cases with LLM's by simply plugging componants like Lego pieces.
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Explore the skillContextJet-ai
Use this to measure and monitor the quality of a RAG (retrieval-augmented generation) pipeline - whether it retrieves the right context and answers faithfully. Trigger o…
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Explore the skillselvarajmurugesan90
Guides designing retrieval-augmented generation (RAG) pipelines: document chunking, embedding, indexing, retrieval, and grounding LLM output in retrieved content. Use wh…