iamleonie

iamleonie / workshop-agentic-search

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Workshop: Agentic Search for Context Engineering

43
9
100% credibility
Found Apr 10, 2026 at 43 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Jupyter Notebook
AI Summary

This repository is a hands-on workshop with interactive notebooks demonstrating various techniques for AI agents to intelligently search and retrieve context from databases and filesystems.

How It Works

1
🕵️ Discover the Workshop

You stumble upon this exciting workshop that teaches clever ways for AI helpers to find just the right information.

2
🛠️ Prepare Your Space

You create a cozy, isolated spot on your computer to play with the workshop without messing up anything else.

3
📦 Gather Simple Tools

You download the easy-to-use helpers that make the examples work smoothly.

4
🗄️ Wake Up a Local Search Buddy

You start a friendly little search engine right on your own computer to hold and find info.

5
🔗 Connect Smart Thinkers

You link up online AI brains and search powers so everything can chat and think together.

6
📊 Load Fun Example Data

You add a real conference schedule as your playground data, getting ready for the magic.

7
🚀 Run Cool Search Experiments

You open the guided notebooks and watch AI agents hunt for info in smart, new ways across files and stores.

🎉 Master Search Tricks

You've tried basic and advanced searches, understood the trade-offs, and boosted your AI skills!

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Star Growth

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AI-Generated Review

What is workshop-agentic-search?

This agentic workshop on GitHub delivers hands-on Jupyter Notebooks for experimenting with agentic search techniques in context engineering, pulling relevant data from sources like local Elasticsearch clusters and filesystems. Developers set up a quick local Elasticsearch via Docker, add API keys for OpenAI via LiteLLM or Jina embeddings, and run through vanilla semantic search, ESQL queries with agent skills, and shell tools like jina-grep-cli on real conference schedule data. It solves the pain of rigid retrieval in agentic AI apps by showing trade-offs and expansions for smarter context gathering.

Why is it gaining traction?

Unlike dry theory posts, this agentic workshop github repo offers runnable notebooks that demo practical boosts—like chaining DB queries or bash tools to LLMs—making agentic search feel tangible without cloud costs. The one-command ES setup and clear env config lower barriers, while resources on Elastic Agent Skills and jina-grep stand out for real-world extensibility in RAG and agentic AI workflows. Devs dig the intuition on when shell tools beat semantic search.

Who should use this?

AI engineers tuning RAG pipelines for production agents, backend devs integrating Elasticsearch into LLM apps, or workshop agentic ai explorers testing context sources beyond vector DBs. Ideal for teams building workshop agentic ia na prática with LLMs, agents, and local dev setups before scaling to AWS or Google agentic workshop setups.

Verdict

Worth forking for a weekend deep-dive into agentic search—solid docs and easy local runs make it a practical starter despite 43 stars and 1.0% credibility signaling early maturity. Skip if you need battle-tested code; grab it to skill up on context engineering tools.

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