This repo contains a growing suite of example applications for Llama Stack that demonstrate various stack features and common application patterns:
01-chatbot: A getting-start chatbot app, which shows how to build and deploy Llama Stack applications. It includes two different UI options and inference with an ollama-hosted Llama 3 model.02-deep-research: A deep research app (under development), which illustrates an emerging, common application pattern for AI. The user asks for detailed information about a topic, for example the market performance and financials for a publicly-traded company, agents find relevant data from diverse sources, and finally an LLM digests the information retrieved and prepares a report. This example will demonstrate Llama Stack support for agent-based application development, including the use of protocols like MCP.
See the READMEs for each example for more information.
Note
Please join us! We welcome PRs and suggestions as issues. Use the discussions for general questions and suggestions. For more information about joining this project or other AI Alliance projects, go here.
If you are interested in running Llama Stack on Kubernetes or OpenShift, see these examples from opendatahub.io.