Code & Development · GitHub ·16 ★

effective-llm-applications

Learn how to build effective LLM-based applications with Semantic Kernel in C#

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Details

Author
wmeints
Category
Code & Development
Platform
GitHub
Framework
semantic-kernel
Language
jupyter notebook
Stars
16
First indexed
2026-05-15
Last active
2026-01-19
Directory sync
2026-05-15
@wmeints

Overview

Learn how to build effective LLM-based applications with Semantic Kernel in C#

Quick start

git

git clone https://github.com/wmeints/effective-llm-applications

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What effective-llm-applications can do

llmragtest
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Test — test task automation.

Frequently asked questions

What is effective-llm-applications?
Learn how to build effective LLM-based applications with Semantic Kernel in C#
How do I install effective-llm-applications?
Use git: `git clone https://github.com/wmeints/effective-llm-applications`. Full setup details on the source page linked above.
Is effective-llm-applications open source?
effective-llm-applications is published on GitHub.
What are alternatives to effective-llm-applications?
Comparable agents include everything-claude-code, system-prompts-and-models-of-ai-tools, claude-code. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for effective-llm-applications is sourced from GitHub, published by wmeints.

Last scraped: · First indexed:

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