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Source channel @githubtrending · Post #15350 · Dec 21

#rust#ai#change_data_capture#context_engineering#data#data_engineering#data_indexing#data_infrastructure#data_processing#etl#hacktoberfest#help_wanted#indexing#knowledge_graph#llm#pipeline#python#rag#real_time#rust#semantic_search **CocoIndex** is a fast, open-source Python tool (Rust core) for transforming data into AI formats like vector indexes or knowledge graphs. Define simple data flows in ~100 lines of code using plug-and-play blocks for sources, embeddings, and targets—install via `pip install cocoindex`, add Postgres, and run. It auto-syncs fresh data with minimal recompute on changes, tracking lineage. **You save time building scalable RAG/semantic search pipelines effortlessly, avoiding complex ETL and stale data issues for production-ready AI apps.** https://github.com/cocoindex-io/cocoindex

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@JianjiaoPD · Post #10145 · 01/01/2026, 03:33 PM

✈️VvEnc | 拖个文件夹进去就批量转 MP4,还能保留原目录结构 🏷 检索标签:#BatchVideoEncoder#VvEnc#视频转码#FFmpeg#视频#MP4 ⭐️ 详情介绍:真正在剪辑前后折磨人的不是转一条视频,而是“十几二十条一起转还得盯着别翻车”,这个基于 PyQt5 + FFmpeg 的批量编码工具就专门治这种活——文件/文件夹直接拖放进来排队跑,多格式输入统一输出 MP4,还会把原来的目录结构给你原样保留,你不用再手动建文件夹对齐素材;队列状态、单文件进度和整体进度都能看到,失败/挂起这种也能在任务里管理 注意:它本质还是 FFmpeg 前端,编码质量和体积最终看你选的参数,想“又小又清晰”就别偷懒,先用一小批样本试跑一轮更稳 📖Github · 🪟Releases下载 😌频道 |🙂群聊 |😋中文包 |☺️搜索