Collection

Practical LLM Applications

Build local chat applications, RAG pipelines, reranking workflows, and natural-language data tools.

4 notes in this path
Note 01 1 of 4
AI ENGINEERING

Gradio with Ollama

Build a lightweight chat interface for a local Ollama model with Gradio.

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Note 02 2 of 4
AI ENGINEERING

Autogen Intro and RAG Workflow

AutoGen is a framework for creating multi-agent AI applications that can act autonomously or work alongside humans.

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Note 03 3 of 4
AI ENGINEERING

RAG-Reranking

Retrieval-Augmented Generation (RAG) is a powerful approach that combines retrieval and generation to produce high-quality responses. However, the quality of the final response can be significantly influenced by the effectiveness of the retrieval process.

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Note 04 4 of 4
AI ENGINEERING

Text to SQL (Smolagents)

Turn natural-language questions into executable SQL with a tool-using agent.

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