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AI & LLM Engineering · Streamlit

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1

Building chat interfaces in Streamlit. An agent skill from iusztinpaul/designing-real-world-ai-agents-workshop.

iusztinpaul/designing-real-world-ai-agents-workshop512—~1.4kAutomated safety check: PassApache-2.04 mo ago
2

Invoke ML models, run vector search, and connect to MCP servers from Databricks Apps.

databricks-solutions/databricks-apps-cookbook183—~1.7kAutomated safety check: PassUnknown7 days ago
3

Python backend for Databricks Apps — FastAPI (default), Flask, Dash, Streamlit, Gradio, Reflex.

databricks/databricks-agent-skills345—~3.1kAutomated safety check: PassUnknownyesterday
4

Use this repo skill for RAGs, a Streamlit app that builds configurable LlamaIndex RAG agents from natural-language setup, data sources, and model settings.

VectorSpaceLab/AREX-Skill331—~1kAutomated safety check: PassMIT1 mo ago
5

A skill your agent uses for Ultralytics track mode, tracker YAML selection, persistent object IDs, and YOLO Solutions such as counting, heatmaps, speed, queue, region, similarity search, and…

VectorSpaceLab/AREX-Skill331—~871Automated safety check: PassAGPL-3.01 mo ago