Unverified50% confidenceFactExact time
MSA检索需要从UniRef90、MGnify等包含数亿条序列的数据库中借助JackHMMER或HHblits等工具检索同源序列，单次检索耗时可达数分钟
1
Sources
50%
Confidence
Long-term
Relevance
7/15/2026
First Seen
Sources
Related Claims
VerifiedVector databases (such as ChromaDB, Milvus, and Pinecone) use indexing algorithms such as HNSW and IVF to achieve millisecond-level retrieval among millions or even hundreds of millions of vectors.65% similarUnverified向量数据库使用HNSW或IVF等ANN索引结构，可在毫秒级延迟内从数十亿向量中召回语义相关文档65% similarUnverifiedPinecone, Milvus, and Chroma are vector databases whose retrieval algorithms, such as HNSW approximate nearest neighbor search, can find the most semantically similar content from millions of records in milliseconds.61% similarUnverified单次全基因组测序产生的原始数据量达数百GB，大规模队列研究如UK Biobank的50万人基因组数据产生PB级别的数据60% similarUnverifiedThe RAG mechanism relies on the approximate nearest neighbor (ANN) search capability of vector databases (such as Pinecone, Weaviate, and Milvus) to achieve millisecond-level retrieval.60% similar
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