UI - Introduction by Examples

We introduce llmware through self-contained examples.

UI Scenarios

We provide several ‘UI’ examples that show how to use LLMWare in a complex recipe combining different elements to accomplish a specific objective. While each example is still high-level, it is shared in the spirit of providing a high-level framework ‘starting point’ that can be developed in more detail for a variety of common use cases. All of these examples use small, specialized models, running locally - ‘Small, but Mighty’ !

1. GGUF Streaming Chatbot

   • Locally deployed chatbot using leading open source chat models, including Phi-3-GGUF
   • Uses Streamlit
   • Core simple framework of ~20 lines using llmware and Streamlit

2. Simple RAG UI with Streamlit

   • Simple RAG UI

3. RAG UI with Query Topic with Streamlit

   • UI demonstrating UI with query topic in RAG scenario

4. Using Streamlit Chat UI

   • Basic Streamlit Chat UI

For more examples, see the [UI examples]((https://www.github.com/llmware-ai/llmware/tree/main/examples/UI/) in the main repo.

Check back often - we are updating these examples regularly - and many of these examples have companion videos as well.

More information about the project - see main repository

About the project

llmware is © 2023-2024 by AI Bloks.

Contributing

Please first discuss any change you want to make publicly, for example on GitHub via raising an issue or starting a new discussion. You can also write an email or start a discussion on our Discrod channel. Read more about becoming a contributor in the GitHub repo.

Code of conduct

We welcome everyone into the llmware community. View our Code of Conduct in our GitHub repository.

llmware and AI Bloks

llmware is an open source project from AI Bloks - the company behind llmware. The company offers a Software as a Service (SaaS) Retrieval Augmented Generation (RAG) service. AI Bloks was founded by Namee Oberst and Darren Oberst in October 2022.

License

llmware is distributed by an Apache-2.0 license.

Thank you to the contributors of llmware!

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