![Meet Snowflake Arctic, our new LLM!](/content/images/size/w600/2024/04/Announcement.png)
Meet Snowflake Arctic, our new LLM!
A truly open large language model that pushes the frontiers of cost-effective training and openness.
![Streamlit 101: The fundamentals of a Python data app](/content/images/size/w600/2024/07/streamlit-101-feature-image.png)
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%](/content/images/size/w600/2024/07/_Users_lacosta_Downloads_Announcement-20-3-.svg.png)
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.
![Grounded multi-doc Q&A made simple with AI21](/content/images/size/w600/2024/03/202403_blog-title-image_ai21-rag-streamlit-q-a.png)
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](/content/images/size/w600/2024/01/streamlit-dashboard-python.png)
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
Using time-based RAG in LLM apps
Build a GitHub commit chatbot using Timescale Vector, pgvector, and LlamaIndex
![7 ways GPT-4 with Vision can uplevel your Streamlit apps](/content/images/size/w600/2023/11/Announcement-_3_.jpg)
7 ways GPT-4 with Vision can uplevel your Streamlit apps
Your AI coach to design and debug interactive Streamlit apps from static images
Introducing AppTest: a faster way to build quality Streamlit apps
A native framework for automated app testing
Take your Streamlit apps to the next level with GPT-4
Pro tips to design, debug, and optimize your Streamlit apps faster