YatharthS/CoalaEmbedding
Updated • 2
Yatharth Sharma
YatharthS
AI & ML interests
TTS, speech generation, Agents, MCP
Recent Activity
reacted to theirpost with 🚀 2 days ago
Open sourcing Coala Embeddings! It can compress 20 million documents which can take 80gb ram down to just 1gb RAM.
Why is this important? Embeddings are used everywhere(RAG, semantic search, etc.) by many.
Coala Embeddings massively cheapen cost to host them while being simply and easy to use.
GitHub: https://github.com/ysharma3501/CoalaEmbeddings
Notebook Demo: https://colab.research.google.com/drive/1TXip-vZg72e_2AB185MINufVVav8Oo9T?usp=sharing reacted to theirpost with 🔥 2 days ago
Open sourcing Coala Embeddings! It can compress 20 million documents which can take 80gb ram down to just 1gb RAM.
Why is this important? Embeddings are used everywhere(RAG, semantic search, etc.) by many.
Coala Embeddings massively cheapen cost to host them while being simply and easy to use.
GitHub: https://github.com/ysharma3501/CoalaEmbeddings
Notebook Demo: https://colab.research.google.com/drive/1TXip-vZg72e_2AB185MINufVVav8Oo9T?usp=sharing posted an update 2 days ago
Open sourcing Coala Embeddings! It can compress 20 million documents which can take 80gb ram down to just 1gb RAM.
Why is this important? Embeddings are used everywhere(RAG, semantic search, etc.) by many.
Coala Embeddings massively cheapen cost to host them while being simply and easy to use.
GitHub: https://github.com/ysharma3501/CoalaEmbeddings
Notebook Demo: https://colab.research.google.com/drive/1TXip-vZg72e_2AB185MINufVVav8Oo9T?usp=sharingOrganizations
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