AI Blueprint

https://github.com/huggingface/ai-blueprint

AI & ML interests

A blueprint for AI development, focusing on applied examples of RAG, information extraction, analysis and fine-tuning in the age of LLMs.

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davidberenstein1957 updated a Space 1 day ago

ai-blueprint/rag-generate

davidberenstein1957 updated a Space 15 days ago

ai-blueprint/README

davidberenstein1957 updated a Space 15 days ago

ai-blueprint/rag-augment

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ai-blueprint's activity

davidberenstein1957

posted an update 1 day ago

Post

1124

Agentic RAG: Applied, visual, and step-by-step! 🐾

Get familiar with the Agents and tools, not the bells and whistles!

Retrieve - Augment and now GENERATE.

part 3: https://huggingface.co/blog/davidberenstein1957/ai-blueprint-agentic-rag-part-3-generate

davidberenstein1957

updated a Space 1 day ago

RAG - generate

⚡

Generate text responses to queries

davidberenstein1957

posted an update 2 days ago

Post

2586

Anyone can create free hosted tools for their AI agents! 🔥

Agentic RAG stack part 2 - augment
Augment retrieval results by reranking optimises content without increasing time too much

part2: https://huggingface.co/blog/davidberenstein1957/ai-blueprint-agentic-rag-part-2-augment
code: https://github.com/huggingface/ai-blueprint

davidberenstein1957

posted an update 3 days ago

Post

1805

Creating an agentic RAG stack on the Hugging Face Hub - part 1 - retrieval (1/5).

🚀 Web apps and microservices included!

Chunk, embed and index documents at a huge scale without overhead.

Blog: https://huggingface.co/blog/davidberenstein1957/ai-blueprint-agentic-rag-part-1-retrieve

davidberenstein1957

posted an update 8 days ago

Post

1533

tldr; Parquet is awesome, DuckDB too!

Datasets on the Hugging Face Hub rely on parquet files. We can interact with these files using DuckDB as a fast in-memory database system. One of DuckDB’s features is vector similarity search which can be used with or without an index.

blog:
https://huggingface.co/learn/cookbook/vector_search_with_hub_as_backend

davidberenstein1957

posted an update 11 days ago

Post

1742

Let's uncover the post-training dataset from DeepSeek-R1 with Magpie!

Pass pre-query tokens <｜begin▁of▁sentence｜>User: , let the model generate the rest.

We can get realistic examples!

Gist: https://gist.github.com/davidberenstein1957/3f20046ce57395a6aba13f8b4e956b59

6 replies

davidberenstein1957

updated 2 Spaces 15 days ago

README

📉

RAG - augment

📚

Rerank documents based on a query

davidberenstein1957

updated a Space 16 days ago

RAG - retrieve

🐠

Retrieve news articles based on a query

davidberenstein1957

updated a collection 16 days ago

Retrieval Augemented Generation (RAG)

Collection

A blueprint for RAG on the Hugging Face Hub. https://github.com/huggingface/ai-blueprint • 5 items • Updated 2 days ago • 1

davidberenstein1957

updated a dataset 16 days ago

ai-blueprint/fineweb-bbc-news-embeddings

Viewer • Updated 16 days ago • 353k • 75 • 1

davidberenstein1957

published a dataset 16 days ago

ai-blueprint/fineweb-bbc-news-embeddings

Viewer • Updated 16 days ago • 353k • 75 • 1

davidberenstein1957

updated a collection 16 days ago

Retrieval Augemented Generation (RAG)

Collection

A blueprint for RAG on the Hugging Face Hub. https://github.com/huggingface/ai-blueprint • 5 items • Updated 2 days ago • 1

davidberenstein1957

published a Space 16 days ago

README

📉

davidberenstein1957

posted an update 17 days ago

Post

1864

The RAG's in the bag!

You can now use the Synthetic Data Generator with your own domain-specific seed data to generate a dataset for fine-tuning retrieval or reranking models.

GitHub: https://buff.ly/49IDSmd
Spaces: https://buff.ly/3Y1S99z
Blog: https://huggingface.co/blog/sdiazlor/fine-tune-modernbert-for-rag-with-synthetic-data

1 reply

davidberenstein1957

posted an update 21 days ago

Post

1241

You can now use the "Synthetic Data Generator" at a much larger scale with your preferred inference engine: Ollama, vLLM, TGI, and serverless inference! 🔥

Install, configure, launch!

Space: argilla/synthetic-data-generator
Examples: https://github.com/argilla-io/synthetic-data-generator/tree/main/examples

AI & ML interests

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ai-blueprint's activity

RAG - generate

README

RAG - augment

RAG - retrieve

README