Faiss, Turbovec, and Infino: A Comparison of 4-bit Vector Quantization
Exploring the performance of FAISS, turbovec, and Infino in 4-bit vector quantization.
We benchmarked FAISS, turbovec, and Infino's 4-bit quantized vector search methods over 100,000 OpenAI embeddings. Each was measured against exact brute-force ground truth, yielding recall rates between 0.94 and 0.97. Latencies varied significantly, ranging from 1.5 ms to 45 ms. This comparison is crucial for engineers looking to enhance vector search efficiency.
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