Search Results for "graphical search engine" - Page 2
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Showing 3226 open source projects for "graphical search engine"
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Perplexica
Perplexica is an AI-powered answering engine.
Perplexica is a privacy-focused AI answering engine like Perplexity that you can self-host on your own hardware for private, source-cited web research. It combines live internet search results with AI models, letting you use local LLMs via Ollama or connect to providers like OpenAI, Claude, Gemini, and Groq. Powered by SearxNG, it aggregates results from multiple search engines while keeping your identity and queries private. -
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OpenGrok
Fast and usable source code search and cross reference engine
OpenGrok is a fast and usable source code search and cross reference engine. It helps you search, cross-reference and navigate your source tree. It understands various program file formats and history from many Source Code Management systems. In other words it lets you grok (profoundly understand) source code and is developed in the open, hence the name OpenGrok. It is written in Java. -
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Vespa
The open big data serving engine
Make AI-driven decisions using your data, in real-time. At any scale, with unbeatable performance. Vespa is a full-featured text search engine and supports both regular text search and fast approximate vector search (ANN). This makes it easy to create high-performing search applications at any scale, whether you want to use traditional techniques or a modern vector-based approach. You can even combine both approaches efficiently in the same query, something no other engine can do. ... -
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QMD
mini cli search engine for your docs, knowledge bases, etc.
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. ... -
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Sunfish
Sunfish: a Python Chess Engine in 111 lines of code
...The project is often used as an educational tool for understanding game AI, search algorithms, and evaluation functions without the complexity of larger engines. It includes a simple UCI-compatible interface, allowing it to be integrated with graphical chess interfaces or used in terminal-based gameplay. The codebase is intentionally minimal, making it ideal for experimentation, modification, and learning purposes. -
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uncover
Discover exposed internet hosts using multiple search engine APIs
Uncover is an open source reconnaissance tool designed to quickly discover exposed hosts on the internet by querying multiple search engine APIs through a unified interface. It acts as a Go-based wrapper around well-known internet intelligence platforms, allowing users to gather information about publicly accessible systems from a single command-line tool. By integrating with services such as Shodan, Censys, FOFA, ZoomEye, and others, the tool enables security professionals to efficiently search for internet-facing assets and services. ... -
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SiteDorks
Automate search engine dorking across hundreds of websites
SiteDorks is a command line tool designed to automate advanced search queries across multiple search engines and websites. It allows users to perform search engine “dork” queries against a large set of predefined domains, making it easier to discover publicly available information across different platforms. SiteDorks supports several major search engines including Google, Bing, Brave, Ecosia, DuckDuckGo, Yahoo, and Yandex. -
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Gorse Recommender System Engine
An open source recommender system service written in Go
An open-source recommender system service written in Go. Recommend items from Popular, latest, user-based, item-based and collaborative filtering. Search the best recommendation model automatically in the background. Support horizontal scaling in the recommendation stage after single node training. Support Redis, MySQL, Postgres, MongoDB, and ClickHouse as its storage backend. Expose RESTful APIs for data CRUD and recommendation requests. Analyze online recommendation performance from... -
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Fastpotify
Spotify, native and fast. One lightweight Rust app for your library
Fastpotify is a lightweight native Spotify client written in Rust with egui and librespot. It runs on Linux, macOS, and Windows without a browser engine and is designed for fast startup and low memory use. Premium users can play music locally with gapless playback, high-quality audio, normalization, and caching, while free users can still browse and search. The app can also control Spotify Connect devices and discover compatible receivers on the local network. It provides library browsing, search, recommendations, artist and album pages, playlist editing, queue management, and session resume. ... -
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MindSearch
An LLM-based Multi-agent Framework of Web Search Engine
MindSearch is an AI-powered search engine based on large language models (LLMs) designed for deep semantic search and retrieval. It leverages InternLM's language model to understand complex queries and retrieve highly relevant answers from large datasets. -
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Elasticsearch
A Distributed RESTful Search Engine
Elasticsearch is a distributed, RESTful search and analytics engine that lets you store, search and analyze with ease at scale. It lets you perform and combine many types of searches; it scales seamlessly, and offers answers incredibly fast with search results you can rank based on a variety of factors. Elasticsearch can be used for a wide variety of use cases, from maps and metrics to site search and workplace search, and with all data types. -
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FSearch
A fast file search utility for Unix-like systems based on GTK3
FSearch is a blazing-fast file search utility for Linux inspired by Windows’ Everything Search Engine, built to allow users to locate files and directories instantly by name rather than content. It achieves its high performance by indexing the filesystem and updating that index in real time, so as you create, rename, or delete files the results stay up to date without noticeable lag. -
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SeaGOAT
local-first semantic code search engine
SeaGOAT is an open-source semantic code search engine designed to help developers explore and understand large codebases more efficiently. Instead of relying solely on traditional keyword search, it uses vector embeddings to represent the meaning of code and queries, allowing users to perform semantic searches that find relevant code even when the exact keywords are not present. -
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OpenSearch
Open source distributed and RESTful search engine
OpenSearch is a distributed search and analytics engine based on Apache Lucene. After adding your data to OpenSearch, you can perform full-text searches on it with all of the features you might expect: search by field, search multiple indices, boost fields, rank results by score, sort results by field, and aggregate results. Unsurprisingly, people often use search engines like OpenSearch as the backend for a search application, think Wikipedia or an online store. ... -
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MiniSearch
Minimalist web-searching platform with an AI assistant
...The platform supports browser-level integration so users can set it as their default search engine for quick access. Its architecture emphasizes privacy by avoiding tracking and minimizing data collection while still enabling advanced AI features. Overall, MiniSearch targets users who want a self-hosted, Perplexity-style search experience with strong control over data and models. -
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ripgrep
Regex pattern directory search tool that respects your .gitignore
ripgrep is a line-oriented search tool that actively searches the directory you're currently in for a regex pattern. By default, ripgrep will ignore your .gitignore and skip hidden files or directories and binary files automatically. ripgrep has first class support on Windows, macOS and Linux, with binary downloads available for every release. ripgrep is similar to other popular search tools like The Silver Searcher, ack and grep. ripgrep supports arbitrary input preprocessing filters which... -
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Qdrant
Vector Database for the next generation of AI applications
Qdrant is a vector similarity engine & vector database. It deploys as an API service providing search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more! Provides the OpenAPI v3 specification to generate a client library in almost any programming language. -
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SAG
SQL-Driven RAG Engine
...These vectors allow the system to identify relationships between concepts and construct a graph representation of knowledge at runtime. The architecture also includes a three-stage retrieval pipeline consisting of recall, expansion, and reranking steps to improve search accuracy. The engine integrates semantic vector similarity with traditional full-text search to improve both recall and precision. Because the knowledge graph is generated dynamically, the system can adapt to new information without requiring manual graph maintenance. -
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fess
Open source enterprise search server for websites, files, and data
...It supports indexing and searching across many document formats including office documents, PDFs, and compressed archives. It also provides a web-based administrative interface that allows administrators to configure crawling targets, manage indexing tasks, and adjust search settings from a graphical dashboard. -
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Vald
Vald. A Highly Scalable Distributed Vector Search Engine
Vald is a highly scalable distributed fast approximate nearest neighbor dense vector search engine. Vald is designed and implemented based on the Cloud-Native architecture. It uses the fastest ANN Algorithm NGT to search for neighbors. Vald has automatic vector indexing and index backup, and horizontal scaling which is made for searching from billions of feature vector data. Vald is easy to use, feature-rich and highly customizable as you needed. -
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pg_analytics
DuckDB-powered analytics for Postgres
...With pg_analytics installed, Postgres can query foreign object stores like AWS S3 and table formats like Iceberg or Delta Lake. Queries are pushed down to DuckDB, a high-performance analytical query engine. By transforming Postgres into a performant search and analytics engine, ParadeDB frees your team from the pain of scaling and syncing Elasticsearch. -
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XERJ
New way for AI to search data
XERJ is an open-source, local AI search engine designed to help developers and AI agents retrieve relevant information from large collections of data. It automatically indexes source code, documents, logs, PDFs, and structured files without requiring manual schema configuration. The engine supports full-text, semantic, vector, and hybrid search to deliver precise results. -
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Thulite
Web framework designed for speed, security, and SEO
Thulite is an AI-powered search and recommendation engine that enhances search functionality in applications. It provides intelligent query processing, result ranking, and personalized recommendations. -
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GenOffice
An AI-native office suite for macOS and Windows
...The suite uses specialized engines for DOCX, XLSX, PPTX, and PDF parsing, rendering, editing, and export. Its round-trip design applies narrow patches so untouched portions of original files remain intact. Shared packages provide agent logic, model streaming, search, internationalization, project storage, and interface components. -
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HelixDB
Graph-vector database for building unified AI backends fast
...HelixDB includes built-in capabilities for embeddings, vector search, keyword search, and graph traversal, which are particularly useful for retrieval-augmented generation and agent-based systems.
