Search Results for "memory"

...It avoids a separate training phase for the quantizer, which can simplify setup compared with systems that require codebook learning. TurboVec is useful for developers building retrieval, ranking, semantic search, recommendation, or AI memory systems. Its main value is combining Rust performance with a Python-facing workflow for modern vector search experiments and applications.

Bowtie, an ultrafast, memory-efficient short read aligner for short DNA sequences (reads) from next-gen sequencers. Please cite: Langmead B, et al. Ultrafast and memory-efficient alignment of short DNA sequences to the human genome. Genome Biol 10:R25.

This is a desktop search tool, similar to a well-known search engine, that you can use on your Debian/Linux-based computer. It allows you to perform local searches by indexing all memory units connected to your computer. Currently, it only supports Turkish, but dynamic multi-language support will be added in the future. Bu, debian/linux tabanlı bilgisayarınızda kullanabileceğiniz, bilinen arama motoruna benzetilmiş bir masaüstü arama aracıdır. Bilgisayarınıza bağlı tüm hafıza birimlerinin indeksleyerek yerel aramalar yapabilmenizi sağlar. ...

Important: This project has been moved to https://github.com/statsbiblioteket/summa/ Lucens (and Solr) based search engine with very flexible setup and workflow system. It supports incremental updates, hierarchical faceting and index lookup with low memory overhead. Note: Although Summa is open source, the focus is on features used at Statsbiblioteket. No explicit resources has been allocated for support of external users.

...When a request to add a document to the index comes in, the main coroutine will send the text to be segmented to a word segmentation coroutine through a channel, and the coroutine will segment the text and send it to a word segmentation through another channel. Indexer coroutines. The indexer coroutine builds an inverted index from the search keyword to the document, and the inverted index table is stored in memory for quick recall. The main coroutine receives the user's request, segments the request phrase in the main coroutine, and then sends it to the indexer through the channel.

The findstr is searching the words in the text and binary files in several codepages. The famouse 'grep' is very slow and get a lot memory for large binary files without ends of lines - findstr is fast and light, but it doesn't use regular expressions.