Core RAG Scenarios Run Locally

Tutorial Videos - check out our Youtube channel for high-impact 5-10 minute tutorials on the latest examples.

Check back often as this list is always growing …

🎬 Core RAG Scenarios

• Use small LLMs for RAG for Contract Analysis (feat. LLMWare)
• Invoice Processing with LLMware
• Evaluate LLMs for RAG with LLMWare
• Fast Start to RAG with LLMWare Open Source Library
• Use Retrieval Augmented Generation (RAG) without a Database
• Best Small RAG Model - Bling-Phi-3
• RAG with BLING on your laptop
• DRAGON-7B-Models

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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