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查看技能说明Local Pdf Chat RAG
weiwill88
🧠 纯原生 Python 实现的 RAG 框架 | FAISS + BM25 混合检索 | 支持 Ollama / SiliconFlow | 适合新手入门学习
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查看技能说明weiwill88
🧠 纯原生 Python 实现的 RAG 框架 | FAISS + BM25 混合检索 | 支持 Ollama / SiliconFlow | 适合新手入门学习
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查看技能说明yfedoseev
The fastest PDF library for Python and Rust. Text extraction, image extraction, markdown conversion, PDF creation & editing. 0.8ms mean, 5× faster than industry leaders,…
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查看技能说明kreuzberg-dev
High performance and CommonMark compliant HTML to Markdown converter. Maintained by the Kreuzberg team. Kreuzberg is a fast, polyglot document intelligence engine with a…
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查看技能说明thiswillbeyourgithub
Summarize and query from a lot of heterogeneous documents. Any LLM provider, any filetype, advanced RAG, advanced summaries, scriptable, etc
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查看技能说明biao994
工程化 RAG 文档助手:知识库、PDF 索引、Agent 工具编排、scope 检索、引用溯源与拒答阈值。FastAPI + Vue3
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查看技能说明yobix-ai
Fast and efficient unstructured data extraction. Written in Rust with bindings for many languages.
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软件开发工程师与数据科学家在构建RAG系统时,当需处理PDF/Word/Excel等多格式复杂文档,用此技能可自动触发三级解析降级,一键输出高置信度结构化Markdown与元数据,免去繁琐清洗,直接夯实企业知识库数据底座!
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A filesystem designed for agents, with SOTA retrieval, automatic memory profiles, sync engine. Drop any file type (pdf, images, videos), and grep through them.
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RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.
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查看技能说明alfadur7
Self-evolving multi-agent "newsroom" that turns your documents into a cross-linked knowledge wiki — writer ≠ reviewer, local-first, no API keys, a structured alternative…
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查看技能说明ATOM00blue
A hand-curated, topic-organized library of the best ML education — 923 docs (391 arXiv papers, 474 Stanford/MIT/Karpathy/fast.ai lectures, 58 explainer articles), normal…
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查看技能说明explosion
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Pure Rust PDF library for AI/RAG: structure-aware chunking, no ML, no C deps.
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Extract Bilibili videos into learning-oriented Markdown notes with full subtitle and comment archives
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查看技能说明NodeDB-Lab
Document, columnar, KV, Graph, Vector, Array - The only all-in-one database that you need.