RAG - generate
Generate a response to a query using a language model
A blueprint for RAG on the Hugging Face Hub. https://github.com/huggingface/ai-blueprint
Generate a response to a query using a language model
Note Generate responses using: https://huggingface.co./prithivMLmods/SmolLM2-135M-Instruct-GGUF Notebook: https://github.com/huggingface/ai-blueprint/blob/main/rag/generate.ipynb
Rerank documents based on a query
Note Rerank documents with a query. Notebook: https://github.com/huggingface/ai-blueprint/blob/main/rag/augment.ipynb
Retrieve news articles based on a query
Note Vector search on top of Hub datasets by passing a vector and column. Notebook: https://github.com/huggingface/ai-blueprint/blob/main/rag/retrieve.ipynb
Note Chunked and embedded version of https://huggingface.co./datasets/ai-blueprint/fineweb-bbc-news
Note Embedded version of https://huggingface.co./datasets/ai-blueprint/fineweb-bbc-news Notebook: https://github.com/huggingface/ai-blueprint/blob/main/rag/retrieve.ipynb
Note Your company documents