Search Results for "semantic documents"

QMD is a powerful and lightweight command-line tool that acts as an on-device search engine for your personal knowledge base, allowing you to index and search files like Markdown notes, meeting transcripts, technical documentation, and other text collections without depending on cloud services. Designed to keep all search activity local, it combines classic full-text search techniques with modern semantic features such as vector similarity and hybrid ranking so that queries return not just literal matches but conceptually relevant results. Users can organize content into named collections, embed documents for semantic retrieval, and then perform keyword searches, semantic searches, or hybrid natural-language queries to quickly surface the most useful information across all indexed sources. ...

txtai executes machine-learning workflows to transform data and build AI-powered semantic search applications. Traditional search systems use keywords to find data. Semantic search applications have an understanding of natural language and identify results that have the same meaning, not necessarily the same keywords. Backed by state-of-the-art machine learning models, data is transformed into vector representations for search (also known as embeddings).

This project is a modern, semantic search tool that brings the simplicity of traditional command-line grep to the world of natural language and multimodal content, enabling users to search across codebases, documents, PDFs, and even images using meaning-aware queries. Built with a focus on calm CLI experiences, it lets you index and query your local files with semantic understanding, delivering results that are relevant to your intent rather than simple pattern matches, which is especially powerful in large or diverse projects. ...

PageIndex is an innovative open-source framework that reimagines retrieval-augmented generation (RAG) by eliminating conventional vector similarity search and instead building hierarchical semantic indexes that mirror a document’s natural structure. Rather than chunking text and embedding it into a vector database, PageIndex constructs a tree-structured index — similar to a detailed, AI-enhanced table of contents — that a large language model can traverse to locate the most relevant sections of long documents. This reasoning-driven retrieval aligns more naturally with how humans explore complex texts, improving relevance and traceability, especially in professional domains like financial reports, legal contracts, and technical manuals. ...

...Its retrieval-augmented generation (RAG) system offers semantic search and traceable source references, and it supports multiple LLM providers through a flexible plugin-style provider architecture.

Zotonic is the content management system and framework for semantic data and high-connectivity websites. Your data outlives your website. Grow your data and share your data. The Zotonic content management system excels in managing structured data from multiple sources. It brings structure to your documents and makes semantic data manageable for normal humans. Real-time connectivity is deeply integrated using the Internet of Things publish/subscribe protocol MQTT. ...

MADR is a lean template to capture any decisions in a structured way. The template originated from capturing architectural decisions and developed to a template allowing to capture any decisions taken. MADR is a template allowing to craft short, medium-sized, and large decision records. There is no formal definition of short, medium-sized, and large decision records. The following sections present an example in the context of assertion frameworks for Java. We start with presenting a very...

OpenSHORE is an XML based Semantic Document Repository (SDR) with a free definable meta model that builds up a semantic network from sections and relations in documents. The acronym SHORE means Semantic Hypertext Object Repository.