Just build it
How we design Streamlit to bias you toward forward progress.
Best Practices for Building GenAI Apps with Streamlit
Key strategies for building robust, scalable, and responsible GenAI apps with Streamlit
How to build a movie recommendation app without the complexities of vector databases
Use the Streamlit-Weaviate Connection to integrate a vector database
How to create an AI chatbot using one API to access multiple LLMs
Programmatically integrate AI with Replicate and Streamlit
Streamlit 101: The fundamentals of a Python data app
Streamlit empowers data scientists to quickly build interactive data apps effortlessly
pip vs. uv: How Streamlit Cloud sped up app load times by 55%
After discovering a dependency installation bottleneck, we decided to try out Astral uv – the new pip drop-in replacement written in Rust.
Meet Snowflake Arctic, our new LLM!
A truly open large language model that pushes the frontiers of cost-effective training and openness.
Grounded multi-doc Q&A made simple with AI21
In just a few steps, build a context-based question-answering app based on your own documents and powered by AI21’s RAG Engine and task-specific models
Build a real-time RAG chatbot using Google Drive and Sharepoint
Keep your chatbot’s knowledge base up-to-date with Pathway and LlamaIndex
Building a dashboard in Python using Streamlit
Using pandas for data wrangling, Altair/Plotly for data visualization, and Streamlit as your frontend
Connect your Streamlit apps to Supabase
Learn how to connect your Streamlit apps to Supabase with the st-supabase-connection component