1️⃣ LEANN: Extreme Compression for RAG
This open-source repo compresses 60 million text chunks from approximately 201 GB to about 6 GB 🤯GitHub
That's about 97% less, while the quality of the retrieval remains very close to standard setups.
• No cloud
• No GPU
• Runs locally on a regular laptop
• Full privacy
• 100% open source
LEANN achieves this by not storing embeddings permanently.
Instead, it uses a compact graph and recalculates embeddings only when they are actually needed.
2️⃣ Transformer Lab: All-in-One set of tools for working with LLMs.
☞ Allows you to train, fine-tune, and communicate with any LLM locally.
☞ One-click model loading,
Simple drag-and-drop interface for RAG.
☞ Completely open sourced.
GitHub
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🤖 Data Science, ML & Big Data with @DataXplore
