Exploration is All You Need!
Feb 17, 2026•Channel
AI Analysis
Data from YouTube Data API v3•Updated Just now
Video Overview
Video Details
Published3 months ago
Duration13:10
Video IDQxBJ9ORecMY
Languageen
CategoryScience & Technology
PrivacyPublic
Made for KidsNo
Video TypeRegular Video
Performance Metrics
Views4.1K
Likes190
Comments19
Engagement Rate5.13%
Likes per 100 views4.66
Comments per 1K views4.66
Video Tags
Description
Standard RAG lacks context, but full agentic scanning is too slow—so I designed a "Dual-Path" architecture to fix this. In this video, we build a hybrid system using DuckDB and Gemini that combines semantic search with metadata filtering to achieve high-accuracy retrieval without the latency. Join me as we upgrade our open-source agent with smart chunking and backtracking capabilities.
LINK:
Repo: https://github.com/PromtEngineer/agentic-file-search
Intro video: https://youtu.be/rMADSuus6jg
With Local Models: https://youtu.be/xG3eS_zHR3k
LangExtract Videos: https://youtu.be/RPpGIxmdZYs
https://youtu.be/dPL2vRDunMw
My voice to text App: whryte.com
Website: https://engineerprompt.ai/
RAG Beyond Basics Course:
https://prompt-s-site.thinkific.com/courses/rag
Signup for Newsletter, localgpt:
https://tally.so/r/3y9bb0
Let's Connect:
🦾 Discord: https://discord.com/invite/t4eYQRUcXB
☕ Buy me a Coffee: https://ko-fi.com/promptengineering
|🔴 Patreon: https://www.patreon.com/PromptEngineering
💼Consulting: https://calendly.com/engineerprompt/consulting-call
📧 Business Contact: [email protected]
Become Member: http://tinyurl.com/y5h28s6h
💻 Pre-configured localGPT VM: https://bit.ly/localGPT (use Code: PromptEngineering for 50% off).
Signup for Newsletter, localgpt:
https://tally.so/r/3y9bb0