Search Results for "indexing"
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Showing 14 open source projects for "indexing"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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code-review-graph
Local-first code intelligence graph for MCP and CLI
...When code changes, blast-radius analysis identifies the callers, dependents, and tests most likely to be affected. AI coding assistants can query this focused context through MCP instead of repeatedly scanning an entire codebase. Incremental indexing reparses only changed files and their relevant dependencies, making it practical for large repositories and monorepos. The command-line installer can detect and configure numerous supported coding tools automatically. It also offers watch mode, hooks, skills, a VS Code extension, and review-oriented risk analysis. -
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PageIndex
Document Index for Vectorless, Reasoning-based RAG
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... -
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glom
Python's nested data operator
...It is designed for real-world data structures where dictionaries, objects, and lists are deeply nested and difficult to handle cleanly. Developers can use path-based access to retrieve values without writing long chains of fragile indexing code. The library also provides readable error messages, which makes debugging broken paths much easier. Its declarative specification style lets users describe the output shape they want instead of manually building transformation logic. glom is especially useful for data processing, API response cleanup, configuration handling, and scripts that need reliable nested data manipulation. -
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txtai
Build AI-powered semantic search applications
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). Innovation is happening at a rapid... -
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Apache Allura
Forge software for hosting software projects
Apache Allura's website and resources are all at https://allura.apache.org/ Allura was originally developed here, which is why this project exists. -
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Binarytree
Python library for studying Binary Trees
...Skip the tedious work of setting up test data, and dive straight into practicing algorithms. Heaps and BSTs (binary search trees) are also supported. Binarytree supports another representation which is more compact but without the indexing properties. Traverse trees using different algorithms. -
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Paperless-ng
A supercharged version of paperless, scan, index and archive docs
Paperless is a simple Django application running in two parts, a Consumer (the thing that does the indexing) and a Web server (the part that lets you search & download already-indexed documents). Paper is a nightmare. Environmental issues aside, there’s no excuse for it in the 21st century. It takes up space, collects dust, doesn’t support any form of a search feature, indexing is tedious, it’s heavy and prone to damage & loss. I wrote this to make “going paperless” easier. ... -
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ReconSpider
Most Advanced Open Source Intelligence (OSINT) Framework
...A Web crawler, sometimes called a spider or spiderbot and often shortened to crawler, is an Internet bot that systematically browses the World Wide Web, typically for the purpose of Web indexing (web spidering). -
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Invenio
Invenio digital library framework
Invenio is a highly customizable open-source framework for building large-scale digital repositories and research data platforms. Developed by CERN, it is designed to manage, index, and provide access to metadata-rich content such as publications, datasets, and multimedia files. Invenio provides a modular architecture, making it suitable for libraries, archives, and research institutions. -
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mds-utils
General purpose utilities for C++ and Python developers
...C++ wrappers of the main Python objects, independent of those in Boost Python. Wrappers are provided also for NumPy arrays. 5. C++ classes that help on treating Python file objects as C++ streams. 6. a review and refactor of the indexing support in Python extensions. Now access in write mode is supported too. More details on the Doxygen documentation. Documentation is available through doxygen. Once downloaded and uncompressed, issue the "doxygen" command from the root folder. The documentation will be into "doc/html". An online version of this documentation is available at the link here below (mds-utils Web Site). -
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littletable is a lightweight in-memory data manager of collections of Python objects, providing ORM-like access for querying and joining data using object attributes as pseudo-columns.
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Fortran-tags
Emacs plugin for source code indexing of modern Fortran
NOTE: Development continued at GitHub! Current version is higher than 1.1.6. Fortran-tags is a lightweight Fortran source code indexing tool for Emacs. It is able to correctly locate all global and local variables and is expected to work with any Fortran 2008 conforming code with only minor exceptions. -
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COAR-DMS
DMS for linux, C++ library, server, webUI , SOAP
COAR-DMS is document management system for 32/64 bit. linux. Acts as library, server and tools. Library features: - storage management, free pages recycling - transaction log - indexing: full text, tags, metadata, document attributes - inverted index - versioning, collaboration - document trees, trees versionning - folders - plugins for auth (PAM,LDAP), db, file types plugins - tags - metadata (key value pairs) - object level security, folders documents ACL, - unix like security (rwx), special authorities - from thousands to tens of billions of documents - dashboard (working copies, new documents) - electronic signs - search statement, syntax like SQL - multithreaded, multiprocess library, Servers: - native HTTP server (libmicrohttp) - SOAP server - WebDAV(planed) - Indexer Python API WebUI GWT, JSP, SOAP-API -
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A collection of open source libraries and tools that provide solutions for common problems in processing Arabic text, especially in web applications. text normalization, phrase segmentation, text indexing, stop word lists, common spelling mistakes.
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