target_compile_definitions(swigfaiss_avx512 PRIVATE FAISS_ENABLE_SVS FAISS_SVS_RUNTIME_VERSION=${FAISS_SVS_RUNTIME_VERSION}) target_compile_definitions(swigfaiss ...
Vector search underpins most retrieval-augmented generation (RAG) pipelines. At scale, it gets expensive. Storing 10 million document embeddings in float32 consumes 31 GB of RAM. For dev teams running ...
Submission for Rinha de Backend 2026: a fraud detection API using approximate nearest-neighbour vector search over 3 million labelled transactions. This project was intentionally built in Python, even ...