Search Results for "indexing software"
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Showing 3 open source projects for "indexing software"
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The full-stack observability platform that protects your dataLayer, tags and conversion dataCode-Cube.io detects issues instantly, alerts you in real time and helps you resolve them fast. No manual QA. No unreliable data. Just data you can trust and act on.
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Turn traffic into pipeline and prospects into customersDocket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
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Apache Lucene
Apache Lucene open-source search software
The Apache Lucene™ project develops open-source search software. The project releases a core search library, named Lucene™ core, as well as PyLucene, a Python binding for Lucene. Lucene Core is a Java library providing powerful indexing and search features, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities. The PyLucene sub-project provides Python bindings for Lucene Core. -
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Personalized Search Engine
Personalized Search Engine for Your Files
MySearchEngine (Personalized Search Engine) is a Java software to search files and folders in an OS file system. It differs from general OS file search engines in that it personalizes the indexing setup so that users can choose which directories to index or remove from an existing index and it can also suggest queries just like Google's "Did you mean" feature. The customization of indexing and query suggestion greatly improves search speed and make user experience more comfortable. eLibrary can also extract text content from files of many wildly used file types such as pdf, doc, ppt, and mp3 to improve the index quality. -
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oStore is a searchable object cache. Designed as a lightweight system for indexing and storing Java Objects. The result is a searchable database of stored Java objects.
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