Search Results for "semantic"
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Showing 62 open source projects for "semantic"
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VectorChord
Scalable, fast, and disk-friendly vector search in Postgres
...It supports efficient vector indexing and retrieval using ANN (approximate nearest neighbor) algorithms and is optimized for integration with LLM and AI applications. VectorChord is lightweight and can be embedded in a variety of environments for fast semantic search. -
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pgai
A suite of tools to develop RAG, semantic search, and other AI apps
pgai is a suite of PostgreSQL extensions developed by Timescale to empower developers in building AI applications directly within their databases. It integrates tools for vector storage, advanced indexing, and AI model interactions, facilitating the development of applications like semantic search and Retrieval-Augmented Generation (RAG) without leaving the SQL environment. -
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OceanBase seekdb
The AI-Native Search Database
...Overall, seekdb positions itself as a unified data foundation for next-generation AI applications that require both transactional and semantic retrieval capabilities. -
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RAG API
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL
rag_api is an open-source REST API for building Retrieval-Augmented Generation (RAG) systems using LLMs like GPT. It lets users index documents, search semantically, and retrieve relevant content for use in generative AI workflows. Designed for rapid prototyping, it is ideal for chatbot development, document assistants, and knowledge-based LLM apps. -
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OpenViking
Context database designed specifically for AI Agents
...It’s primarily designed to serve as a high-performance, scalable backend for storing app context, embeddings, conversational histories, and other textual artifacts that need rapid lookup and semantic search, which makes it especially useful for systems like chatbots or memory-augmented agents. The project is implemented with performance in mind, often leveraging optimized data structures that balance fast reads and writes with minimal resource consumption. Developers can integrate OpenViking into modern AI stacks to unify context storage across services, enabling consistent session history, personalized responses, and richer search experiences. -
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Zvec
A lightweight, lightning-fast, in-process vector database
...Developed by Alibaba’s Tongyi Lab, it positions itself as the “SQLite of vector databases” by being easy to integrate, minimal in dependencies, and capable of handling high throughput with low latency on edge devices or small systems. Zvec excels at approximate nearest neighbor search and retrieval tasks that power features like semantic search, recommendation systems, and retrieval-augmented generation (RAG) setups. Its performance benchmarks show it achieving high queries-per-second and fast index build times compared to similar tools. Because it runs in-process, developers can embed it in native apps, microservices, or edge computing scenarios where traditional server-based vector databases might be overkill. -
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Druid
Database connection pool written in Java
...Druid has been deployed to the maven central repository. Druid provides a monitoring feature that can be implemented through filter-chain. It also comes with WallFilter, that is based on the SQL semantic analysis to protect from SQL injection attacks. Monitor connection leaks and connect to other databases, like Oracle database. -
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Oruga UI
Oruga is a lightweight library of UI components without CSS framework
Oruga is a lightweight library of UI components without CSS framework dependency. CSS framework agnostic: No dependency on a specific CSS framework/library but you can easily integrate the components with one of them because they are fully customizable in different ways. Components with steroids: most of the components aren't a simple wrapper of native elements but they add new and custom features. Lightweight: no other internal dependency and import only components that you need. Oruga... -
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TRAK Metamodel
Tuples (triples) for TRAK architecture viewpoints and views
The definition of the metamodel for TRAK (defines allowed AD elements and relationships i.e. tuples/ triples for the TRAK viewpoints and views). TRAK is a general systems-thinkers'/system engineering enterprise architecture framework. It is simple, user-friendly, pragmatic and not limited to IT. 100% triple-centric and semantically-sound. Forms basis for RDF + OWL ontology description - see https://trakmetamodel.sourceforge.io/vocab/TRAK_metamodel.html. Each TRAK metamodel element now has... -
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rdfxx
C++ wrapper for Redland librdf
This library provides a thin abstraction layer over the Redland librdf library. It provides a simple to use C++ interface for RDF data. This is a component of the SASSY project. Please note that this code is at the prototyping phase. New features will be added as they are identified as a requirement for other SASSY projects. If you think that this software would be useful in your project, but need additional features please raise a ticket describing your requirement. Similarly, please... -
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...The model meta-data (meta-model level reasoning, or syntax reasoning) 2. Data level: reason about a model and its data (instance model, i.e., diagram) FOML is built as a semantic layer on top of PathLP - a compact logic rule language of guarded path expressions, an adaptation of a subset of F-logic.
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imgcook
Generate pages from any sketch or images
imgcook is an ingenious chef who specializes in cooking with various images (Sketch / PSD / static images). it will intelligently generate front-end codes, including view codes, data-binding codes, component codes as well as part of business logic codes from different kinds of design documents. We are making imgcook a P5 front-end engineer who could improve the development efficiency and promote effective collaboration between front-end developers, designers and testers. The main functions... -
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WikiSQL
A large annotated semantic parsing corpus for developing NL interfaces
A large crowd-sourced dataset for developing natural language interfaces for relational databases. WikiSQL is the dataset released along with our work Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning. Regarding tokenization and Stanza, when WikiSQL was written 3-years ago, it relied on Stanza, a CoreNLP python wrapper that has since been deprecated. If you'd still like to use the tokenizer, please use the docker image. We do not anticipate switching... -
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Jena is Java toolkit for developing semantic web applications based on W3C recommendations for RDF and OWL. It provides an RDF API; ARP, an RDF parser; SPARQL, the W3C RDF query language; an OWL API; and rule-based inference for RDFS and OWL. Jena is now an Apache project: http://jena.apache.org/
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Smart-M3 is a functional platform that provides a cross domain search extent for triple based information. Smart-M3 enables smart cross domain applications that rely on information level interoperability.
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Gellish - A Product Modeling Language
Formalized English (o.a.) for standardized information exchange
Formal English (Formal Dutch, etc.) are members of the Gellish family of computer interpretable languages for modeling products and processes and their properties as well as for knowledge representation, modeling of requirements and for modeling definitions. The project is intended for further development of Formal English and its Taxonomic Dictionary-Ontology. Software tools for supporting implementations are developed as a https://github.com/ project. The 2008 version of the taxonomic... -
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SQL DB Semantic Browser
One click access to all data relevant to the selected object (row).
DB Semantic Browser (DBSB) is designed for the software developers. Applications access data located in multiple tables and it takes some effort to get all information relevant to the particular object. Developers have more interesting things to do than navigating through multiple tables, determining keys and selecting rows. DBSB uses DB meta-data, discovers relationships between tables and shows rows related to the selected one. -
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Semantic MediaWiki
Lets you store and query data within the wiki's pages.
Semantic MediaWiki is an extension to the MediaWiki software (powering Wikipedia), which extends the Wiki with ideas from the Semantic Web. We focus on usability and tight integration. See the web site for further details and GitHub at https://github.com/SemanticMediaWiki/SemanticMediaWiki/releases for the file releases! (since version 2.4.0). -
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DBvolution
Java library to remove Object/Relation Impedance
Now stored at https://github.com/gregorydgraham/DBvolution Available from Maven Central: nz.co.gregs.dbvolution Makes relational data easy and fast to use with semantic annotations and encapsulated datatypes. Simple declaration of a DB table: @DBTableName("mytable") public class MyTable extends DBRow { @DBColumn("numeric_code") @DBForeignKey(Code.class) private DBNumber numericCode = new DBNumber(); @DBColumn("uid_mytable") @DBPrimaryKey @DBAutoIncrement private DBNumber uidMyTable = new DBNumber(); } Easy Gets: List<MyTable> myRows = myDB.get(new MyTable()); MyTable row = myDB.getDBTable(new MyTable()).getByPrimaryKey(61176904); Natural and Outer Joins and Criteria: CarCo carCo = new CarCo(); carCo.name.isLiterally("GM"); List<DBQueryRow> results = myDB.get(carCo, new Marque()); dbQuery.addOptional(new CarModel()); Easy debugging: query.getSQLForQuery(); Simple processing: db.print(query.getAllRows()); List<Marque> marques = query.getAll -
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A Windows GUI application for RDF. SWC is a client tool for a Sesame 2 RDF server or SPARQL endpoint, and can be used as a out-of-the-box local triplestore. It offers advanced SPARQL querying and handles Sesame server administrative tasks. This tool is no longer actively maintained as my priorities and interests have shifted away from .Net development. If you are interested in taking over, drop me a line.
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The Bio2RDF project aims to transforms silos of life science data into a globally distributed network of linked data for biological knowledge discovery. Bio2RDF creates and provides machine understandable descriptions of biological entities using the RDF/RDFS/OWL Semantic Web languages. Using both syntactic and semantic data integration techniques, Bio2RDF seamlessly integrates diverse biological data and enables powerful new SPARQL-based services across its globally distributed knowledge bases.
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C++ Semantic Web Objects library: Turtle parser. SPARQL compiler. Rule-based query transformer. SQL serializer. Query federater Tutorials 2010: http://www.w3.org/2010/Talks/1208-egp-swobjects/ 2011: https://sites.google.com/site/swobjectstutorial/documentation
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Our aim is to enable Web applications to consume linked data from the Web. With SQUIN (Semantic Web Query Interface) we will provide a Web data query service as an addition to the LAMP technology stack. This service executes queries over the whole We
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Semantic query optimization (SQO) is the process of finding equivalent rewritings of an input query given constraints that hold in a database instance. We present a Chase & Backchase (C&B) algorithm strategy that generalizes and improves on well-known methods in the field. The implementation of our approach, the pegasus system, outperforms existing C&B systems an average by two orders of magnitude.
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The “RDB2RDF Mapper” is a Java based software desktop application which allows a user to create a mapping file between a relational database and an RDFS/OWL ontology via a graphical user interface. This project is ANDS-funded.
