The NEW Easiest Way to Build RAG Agents in Minutes (no code)

Uploaded: 2025-09-19
The video demonstrates how to easily set up and use a Pine Cone Assistant to extract and cite financial data from earnings reports of companies like Tesla, Nvidia, and Nike.

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Key Ideas:

  • This video demonstrates setting up a Pine Cone Assistant within 5 minutes to efficiently query earnings reports of Tesla, Nvidia, and Nike, showcasing its speed and ease of use.
  • It emphasizes how Pine Cone manages indexing, embedding, and chunking, eliminating the need for the user to handle metadata filtering, and ensuring accurate source citation with page numbers and documents.
  • The presenter highlights the technical setups, showing how to integrate the Pine Cone Assistant using API requests with key features such as include citation highlights and dynamic query expressions.
  • There’s a comparison between Pine Cone Assistant and other vector storage methods, emphasizing ease, cost-effectiveness, and accuracy of Pine Cone.
  • The video concludes with options for further learning, community interaction, and template availability through free community and more structured paid services.

Quotes:

This is the easiest method I’ve ever tried

Why is this quicker and easier and maybe even better?

Pine Cone Assistant is a game changer, especially if you’re a beginner.

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Upload date:2025-09-19
Likes:1588
Comments:114
Statistics updated:2025-10-08

Specification: The NEW Easiest Way to Build RAG Agents in Minutes (no code)

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The NEW Easiest Way to Build RAG Agents in Minutes (no code)
The NEW Easiest Way to Build RAG Agents in Minutes (no code)