Search Results for "document search"
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Showing 362 open source projects for "document search"
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Open Semantic Search
Open source semantic search and text analytics for large document sets
Open Semantic Search is an open source research and analytics platform designed for searching, analyzing, and exploring large collections of documents using semantic search technologies. It provides an integrated search server combined with a document processing pipeline that supports crawling, text extraction, and automated analysis of content from many different sources. -
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Search-Index
A persistent, network resilient, full text search library
Search-Index is a lightweight and fast JavaScript-based search engine that enables full-text search indexing and retrieval for web applications. -
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SemTools
Semantic search and document parsing tools for the command line
SemTools is an open-source command-line toolkit designed for document parsing, semantic indexing, and semantic search workflows. The project focuses on enabling developers and AI agents to process large document collections and extract meaningful semantic representations that can be searched efficiently. Built with Rust for performance and reliability, the toolchain provides fast processing of text and structured documents while maintaining low system overhead. ... -
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WeKnora
LLM framework for document understanding and semantic retrieval
...This approach enables the system to provide more reliable answers by grounding model reasoning in the content of uploaded documents. WeKnora is designed with a modular architecture that separates components for document processing, search strategies, and model inference, allowing developers to customize or extend different parts of the pipeline. It supports knowledge base management and conversational question answering built on top of structured and unstructured documents. -
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Paperless-AI
AI-powered document analysis and tagging for Paperless-ngx
...A key capability is its use of retrieval-augmented generation, which enables semantic search and natural language interaction across an entire document archive. Users can ask contextual questions about their files and receive precise answers based on full document understanding rather than simple keyword matching. Paperless-AI also includes a web interface for manual review and tagging, allowing greater control when handling sensitive or complex documents. -
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paperless-gpt
Use LLMs and LLM Vision (OCR) to handle paperless-ngx
paperless-gpt is an AI-powered extension for document management systems that enhances the capabilities of paperless-ngx by integrating large language models and vision-based OCR to automate document processing and organization. It is designed to transform scanned or uploaded documents into structured, searchable, and intelligently categorized data without requiring manual tagging or sorting. -
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DocuBrowse
This does for Documents what repo-browser does for repos
DocuBrowse is a local AI-powered document search engine for personal or professional file collections. It indexes documents such as PDFs, Word files, spreadsheets, presentations, ebooks, HTML, text, and Markdown. The system combines SQLite FTS5 keyword search with local semantic embeddings for meaning-based retrieval. Users can click search results to generate an AI synopsis before opening the original file. -
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Docspell
Assist in organizing your piles of documents
Docspell is a personal document organizer. Or sometimes called a "Document Management System" (DMS). You'll need a scanner to convert your papers into files. Docspell can then assist in organizing the resulting mess. It can unify your files from scanners, emails, and other sources. It is targeted for home use, i.e. families, households, and also for smaller groups/companies. -
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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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MongoDB
The MongoDB Database
MongoDB refers to the core MongoDB server, a modern, document-oriented NoSQL database offering flexible schema, rich queries, horizontal scalability, and integrated support for transactions and search. Packages are created dynamically by the buildscripts/packager.py script. This will generate RPM and Debian packages. Client drivers for most programming languages are available. You can install compass using the install_compass script packaged with MongoDB. -
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Notepad++
Free, open-source text editor
Notepad++ is a source code editor that is free to use and is available in various languages. The source code editor is also written in C++ and is based on the Scintilla editing component. Notepad++ offers a wide range of features, such as autosaving, line bookmarking, simultaneous editing, tabbed document interface, and many more features. Over 140 plugins are also available to use in the default program. Notepad++ takes advantage of higher execution speed and smaller program size by... -
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Semantra
Multi-tool for semantic search
Semantra is an open-source semantic search tool designed to help users explore large collections of documents by meaning rather than simple keyword matching. The software analyzes text and PDF documents stored locally and creates embeddings that allow queries to retrieve results based on conceptual similarity. It is primarily intended for individuals who need to extract insights from large document collections, including researchers, journalists, students, and historians. ... -
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Papermerge
Open Source Document Management System for Digital Archives
Papermerge is an open source document management system (DMS) primarily designed for archiving and retrieving your digital documents. Instead of having piles of paper documents all over your desk, office or drawers - you can quickly scan them and configure your scanner to directly upload to Papermerge DMS. Store, organize and index scanned documents in PDF, JPEG and TIFF formats. -
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Sonic
Fast, lightweight & schema-less search backend
Sonic is a super fast and lightweight, schema-less search backend that can be used in place of super-heavy and full-featured search backends like Elasticsearch. It is able to normalize language search queries, auto-complete search queries and offer the most relevant results. Being an identifier index rather than a document index, when queried it provides IDs that can be used to refer to matched documents in an external database. -
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RavenDB
ACID Document Database
A NoSQL document database designed for high-performance, real-time applications with built-in distributed capabilities. -
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GenOffice
An AI-native office suite for macOS and Windows
...Shared packages provide agent logic, model streaming, search, internationalization, project storage, and interface components. -
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PageIndex
Document Index for Vectorless, Reasoning-based RAG
...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. The project includes example notebooks, scripts for tree generation and search, and support for multiple document formats including PDF and markdown, with tools designed to preserve context and semantic boundaries. -
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Warracker
Self-hostable warranty tracker to monitor expirations, store receipts
Warracker is an open-source web application built to help individuals and teams track and manage product warranties in one central, easy-to-use interface. Instead of scattering receipts, expiration dates, and warranty details across paper files or spreadsheets, Warracker lets users organize all of that information with detailed records for each product, including purchase dates, durations, and associated documentation like images or PDFs. It includes proactive notifications for upcoming... -
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Kernel Memory
Research project. A Memory solution for users, teams, and applications
...The project focuses on enabling applications to store, index, and retrieve information so that AI systems can incorporate external knowledge when generating responses. It supports scenarios such as document ingestion, semantic search, and retrieval-augmented generation, allowing language models to answer questions using contextual information from private or enterprise datasets. Kernel Memory can ingest documents in multiple formats, process them into embeddings, and store them in searchable indexes. Applications can then query these indexed data sources to retrieve relevant information and include it as context for AI responses. -
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PaperAI
Semantic search and workflows for medical/scientific papers
PaperAI is an open-source framework for searching and analyzing scientific papers, particularly useful for researchers looking to extract insights from large-scale document collections. -
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fess
Open source enterprise search server for websites, files, and data
Fess is an open source enterprise search server designed to provide powerful full-text search capabilities across multiple data sources. It enables organizations to quickly deploy a scalable search environment without requiring deep knowledge of underlying search technologies. Fess is built on top of OpenSearch and offers an integrated solution for crawling, indexing, and searching documents from websites, file systems, and various data stores. -
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Local Deep Research
95% on SimpleQA (e.g. Qwen3.6-27B on a 3090)
Local Deep Research is an open-source AI-powered research assistant designed to perform deep, iterative investigations by combining large language models with multi-source search capabilities. It runs locally, giving users full control over their data, privacy, and infrastructure while supporting both local and cloud-based LLMs. The system breaks down complex queries into smaller steps, performs parallel searches across web and academic sources, and generates structured, citation-backed reports. It also supports personal document ingestion through vector search, enabling users to build a private, searchable knowledge base. ... -
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Vedana
Open source multi-agent RAG over a knowledge graph
...It is designed for questions that require structure, completeness, and traceability instead of simple text similarity. The system lets agents navigate data step by step through Cypher queries, vector search, document lookup, and source verification. Its architecture combines a knowledge graph, pgvector-based embeddings, incremental ETL, and a backoffice interface for chat, metrics, prompt tuning, and data loading. It also includes JIMS, a framework for persistent conversational agents with typed events and pluggable pipelines. Overall, Vedana is useful for teams that need reliable answers from real data, especially when relationships, counts, rules, and source-backed reasoning matter. -
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Elastiknn
Elasticsearch plugin for nearest neighbor search
Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity searches using exact and approximate algorithms. Methods like word2vec and convolutional neural nets can convert many data modalities (text, images, users, items, etc.) into numerical vectors, such that pairwise distance computations on the vectors correspond to semantic similarity of the original data. Elasticsearch is a ubiquitous search solution, but its support for vectors is limited. This plugin fills the... -
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Papis
Powerful and highly extensible command-line based document
Papis is a powerful and highly extensible CLI document and bibliography manager. With Papis, you can search your library for books and papers, add documents and notes, import and export to and from other formats, and much much more. Papis uses a human-readable and easily hackable .yaml file to store each entry's bibliographical data. It strives to be easy to use while providing a wide range of features.
