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StreamRAG

Video Search and Streaming Agent 🕵️‍♂️

AI EngineeringGive agent knowledgePython
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创建于 2024-01-16 · 更新于 2026-10-08 · 今日第 18246 名
主要开发者

video-db/StreamRAG 排名第 18,246,有 504 个星标。

同类别比较

video-db/StreamRAG 排名第 18,246,此处有 8 个同类条目;zhenbench/z-bench 排名第 18,248。

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关键参数与规格
关键参数与规格
参数值
语言Python
类别AI Engineering
子类别Give agent knowledge
关键词Multimodal, Talk-to-your-docs
星标数504
分叉数35
贡献者3
创建日期2024-01-16
更新日期2026-10-08
1 天星标数0
7 天星标数0
排名18,246
上次排名17,998
排名变化-248
7 天星标排名16,550
上次 7 天星标排名16,567
7 天星标排名变化17
总星标排名19,263
上次总星标排名19,236
总星标排名变化-27
国家USA
README 摘录

StreamRAG 🎥 StreamRAG: GPT-Powered Video Retrieval & Streaming 🚀 What does it do? 🤔 It enables developers to: 📚 Upload multiple videos to create a library or collection. 🔍 Search across these videos and get real-time video responses or compilations. 🛒 Publish your searchable collection on the ChatGPT store. 📝 Receive summarized text answers (RAG). 🌟 Gain key insights from specific videos (e. 🛠️ 📺 Watch: Code walkthrough **Get your API key:** Sign up on VideoDB console (Free for the first 50 uploads, no credit card required). 🆓 **Set :** Enter

your key in the file. **Install dependencies:** Run in your terminal. **Upload your collection to VideoDB:** Add your links in . **Run locally:** Start the flask server with . Publishing on ChatGPT Store 🏪 📺 Watch: Create New GPT 1. Deploy your flask server and note your server's . In the configure tab, add your GPT's and . Copy the openapi details from Don't miss to update the field. Save your GPT for personal use and give it a test run! Add support for popular backend

deployment CD pipelines like , , etc. Integrate with other data sources like , . Connect with meeting recorder APIs such as , , and . Here's how you can contribute: Open issues to share your use cases. Participate in brainstorming solutions for our roadmap.

常见问题

记录了多少星标和分叉?

video-db/StreamRAG 有 504 个星标和 35 个分叉。

仓库排名是多少?

video-db/StreamRAG 排名第 18,246。

记录的语言和类别是什么?

video-db/StreamRAG 有 504 个星标,语言为 Python,类别为 AI Engineering。

哪个仓库排名最接近?

video-db/StreamRAG 与 zhenbench/z-bench 比较,后者排名第 18,248,有 504 个星标。

README

StreamRAG 🎥

Video Search Agent for ChatGPT 🕵️‍♂️
  

[📺Watch Demo Video](https://console.videodb.io/player?url=https://stream.videodb.io/v3/published/manifests/90cb6cf2-d6ce-4a23-9d90-442c7cc357b8.m3u8)  
·
[🐞Report a Bug](https://github.com/video-db/streamRAG/issues) 
·
[💡Suggest a Feature](https://github.com/video-db/streamRAG/issues) 

StreamRAG: GPT-Powered Video Retrieval & Streaming 🚀

https://github.com/video-db/StreamRAG/assets/5406975/b768bb6e-08b8-451e-9117-1cf04488c02c

What does it do? 🤔

It enables developers to:

  • 📚 Upload multiple videos to create a library or collection.
  • 🔍 Search across these videos and get real-time video responses or compilations.
  • 🛒 Publish your searchable collection on the ChatGPT store.
  • 📝 Receive summarized text answers (RAG).
  • 🌟 Gain key insights from specific videos (e.g. "Top points from episode 31").

How do I use it? 🛠️

📺 Watch: Code walkthrough

  • Get your API key: Sign up on VideoDB console (Free for the first 50 uploads, no credit card required). 🆓
  • Set VIDEO_DB_API_KEY: Enter your key in the env file.
  • Install dependencies: Run pip install -r requirements.txt in your terminal.
  • Upload your collection to VideoDB: Add your links in upload.py.
  • Run locally: Start the flask server with python app.py.

Publishing on ChatGPT Store 🏪

📺 Watch: Create New GPT

  1. Deploy your flask server and note your server's url.
  2. In openapi.yaml, update the url field under server.
  3. Visit the GPT builder at https://chat.openai.com/gpts/editor
  4. In the configure tab, add your GPT's Name and Description.
  5. Copy the prompt from prompts.txt into the Instructions field. Feel free to modify it as needed. ✏️
  6. Click on Create new Action
  7. Copy the openapi details from openapi.yaml Don't miss to update the url field.
  8. Save your GPT for personal use and give it a test run! 🧪

Roadmap 🛣️

  1. Add support for popular backend deployment CD pipelines like Heroku, Replit, etc.
  2. Integrate with other data sources like Dropbox, Google Drive.
  3. Connect with meeting recorder APIs such as Zoom, Teams, and Recall.ai.

Contributing 🤝

Your contributions make the open-source community an incredible place for learning, inspiration, and creativity. We welcome and appreciate your input! Here's how you can contribute:

  • Open issues to share your use cases.
  • Participate in brainstorming solutions for our roadmap.
  • Suggest improvements to the codebase.

Contribution Steps

  1. Fork the Project 🍴
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request 📬

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