🔟 MCP-powered deep researcherChatGPT has a deep research feature. It helps you get detailed insights on any topic. Learn how you can build a 100% local alternative to it.Repo link → https://t.co/2IyMy6C63THere's the workflow 👇 https://t.co/aQoQwJDder ...

AI Engineering Hub is about to cross 10k GitHub stars!It’s 100% open-source and hosts 70+ free hands-on demos.Here are 10 MCP, RAG, and AI Agents projects for AI engineers: https://t.co/Zxe2K6DEKg ...

RT Avi Chawla (@_avichawla)Wow!! Anyone can now automate anything on the web by writing a prompt!Director by @browserbasehq lets you automate any task on the web using natural language. It also generates the corresponding production-ready code to add to your scripts!No coding required! https://t.co/tJsbP3Z03i ...

Automation & Web Development - Browserbasehq's Director allows web automation via natural language prompts [1] - The tool generates production-ready code for scripts, eliminating the need for manual coding [1] Social Sharing & Recommendation - The author encourages readers to reshare the information [1] - The author shares tutorials and insights on DS, ML, LLMs, and RAGs daily [1]

You can try it here: https://t.co/A9SBbaFkEx. ...

Automation Capabilities - Browserbasehq's Director enables web automation via natural language prompts [1] - The tool generates production-ready code for web automation scripts [1] - Web automation is achievable without coding expertise [1]

I built an MCP-powered RAG over video files.You can:- Ingest a video file.- Ask questions to get natural language responses.- Extract precise timestamps that answer the question.Check the explainer thread below: https://t.co/hy5aVCQj9pAvi Chawla (@_avichawla):Let's build an MCP-powered RAG over videos, step-by-step: ...

If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs.Avi Chawla (@_avichawla):Let's build an MCP-powered RAG over videos, step-by-step: ...

And that was your MCP-powered video RAG.Here's the workflow again for your reference:- We ingest a video and store it in the Ragie index.- We retrieve relevant data based on user's query (including video chunks).Check this 👇 https://t.co/BLW2vP72OB ...

Let's build an MCP-powered RAG over videos, step-by-step: ...