Hi HN, we're Ashpreet, Eli and Yash and we're excited to share Phidata: a collection of AI Apps built with open-source tools. While helping teams build AI products, we built templates for spinning up LLM Apps quickly. Today we're open-sourcing our templates for building: - RAG LLM Apps - Autonomous LLM Apps - Multimodal LLM Apps - Data Engineering LLM Apps Templates are built with FastApi for serving, Streamlit for prototyping, PgVector for vectors and PosgreSQL for storage. Run them locally using docker and in production on AWS - with 1 command. - Github: https://github.com/phidatahq/phidata - Documentation: https://docs.phidata.com If you're building an AI product, please give it a try and share your feedback about the stack, documentation and developer experience. Your feedback will help us make them better. PS: For a limited time, GPT-4 access is also included with these templates, so you can run them without an API KEY. This is because we provide access through a proxy for our customers but haven't had time to build in authentication yet. While we work on auth -- GPT4 access is included so give it a spin :) |