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timvisee avatar timvisee commented on June 18, 2024

You're right. Qdrant only supports f32 vectors at this point.

Search accuracy should be more than good enough with f32 floats, increasing with number of dimensions.

Do you have a specific use case in which you require f64 floats?

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jpmcb avatar jpmcb commented on June 18, 2024

Do you have a specific use case in which you require f64 floats?

Not really I suppose.

I ended up just iterating the vec and converting them to f32 which seems fine.

But, I'd love if Ollama and Qdrant were easily plug and play since my main use case is building a local first RAG type application (and both Ollama / Qdrant running in Docker are perfect for this). Is the solution that the ollama-rs library needs to support f32 vecs? Or maybe there's a glue library that needs some thought?

Open to any / all suggestions!

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