Exploration is All You Need!

Feb 17, 2026Channel
AI Analysis
Data from YouTube Data API v3Updated 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

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

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