Search Results for "search"
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Showing 48 open source projects for "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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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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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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SuperDuperDB
Integrate, train and manage any AI models and APIs with your database
Build and manage AI applications easily without needing to move your data to complex pipelines and specialized vector databases. Integrate AI and vector search directly with your database including real-time inference and model training. Just using Python. A single scalable deployment of all your AI models and APIs which is automatically kept up-to-date as new data is processed immediately. No need to introduce an additional database and duplicate your data to use vector search and build on top of it. ... -
AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
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ZeusDB Vector Database
Blazing-fast vector DB with similarity search and metadata filtering
ZeusDB is a vector database built for fast, scalable similarity search with strong production ergonomics. It combines high-performance approximate nearest neighbor indexes with clean APIs and metadata filtering so applications can retrieve semantically relevant items at low latency. The storage layer is designed for durability and growth, supporting sharding, replication, and background compaction while keeping query tails predictable. -
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sqlit
A user friendly TUI for SQL databases
...For querying, it emphasizes productivity features like syntax highlighting, searchable query history, and vim-style keybindings so power users can move fast. For exploring data at scale, it can load and inspect very large result sets and provides filtering and fuzzy search to find rows and values efficiently. -
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Cinemagoer
Python package useful to retrieve and manage the data of IMDb
Cinemagoer (previously known as IMDbPY) is a Python package for retrieving and managing the data of the IMDb movie database about movies and people. You can use the search_movie method of the access object to search for movies with a given (or similar) title. Similarly, you can search for people and companies using the search_person and the search_company methods. Movie, person, and company objects have id attributes which -when fetched through the IMDb web server- store the IMDb id of the object. If you know the IMDb id of a movie, you can use the get_movie method to retrieve its data. ... -
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Walrus
Lightweight Python utilities for working with Redis
...Persistent structures implemented on top of Hashes. Supports secondary indexes to allow filtering on equality, inequality, ranges, less/greater-than, and a basic full-text search index. The full-text search features a boolean search query parser, porter stemmer, stop-word filtering, and optional double-metaphone implementation. -
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Showtime
A Minor Project made in Python using OMDb API and Tkinter for Frontend
A Minor Project made in Python using Tkinter for frontend which fetches Data about Movies/TV-Series from an Online Database and uses the OMDB REST API and pyImdb to show Information about movies. Github : https://github.com/Cyborg117/Showtime -
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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levin
in-memory key value server with fuzzy search capabilities
Levin is an event-based key/value server based on radix-tree (space optimized trie). Key search can be performed with an approximate key matching algorithm based on Levenshtein edit distance. -
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AerinSistemas-Noname
Elasticsearch to Pandas dataframe or CSV
API and command line utility, written in Python, for querying Elasticsearch exporting result as documents into a CSV file. The search can be done using logical operators or ranges, in combination or alone. The output can be limited to the desired attributes. Also ToT can insert the querying to a Pandas Dataframe or/and save its in a HDF5 container (under development). -
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FastVersion
FastVersion is a Qgis plugin for data versioning in a Postgis database
...We recommend downloading it from the Qgis app. Plugins->Manage and Install Plugins->Settings->Show also experimental plugins Plugins->Manage and Install Plugins->Search FastVersion If downloaded from sourceforge, it must be unzipped in \.qgis2\python\plugins -
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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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HyperSQL is like a doxygen plus javadoc for SQL, hypermapping SQL views, packages, procedures, and functions to HTML source code listings and showing all code locations where these are used.
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Multi Whois is a small whois domain name search program capable of finding bulk domains via a wordlist file or specific domains provided by the user. It's a good way to search for domains that are available to buy. The wordlist format consists of a domain name per line with or without the .dot tld.. Examples below google yahoo foobar Note:Must select a tld from the dropdown box or google.com yahoo.net foobar.guru
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tagfs
Tag based file manager CLI
A Tag based file management system. Command line interface. User can add tags for files (individually or for the folder). Allows search by tags. -
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Framework (scripts, configuration, code) to build free and public services around travel and leisure data. That project makes an extensive use of already existing data sources such as Geonames and dbPedia, and adds some glue around those (eg, links).
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D0xBase
D0xBase - old school d0x database
D0xBase was created with a thought that it will be similar to what you see in the old movies when police uses on their computers to search for a criminal record. Of course we tried to replicate as much as we can and I think we succeeded. (Screenshots shows version 0.1 but it doesn't change anything. Program looks like it was before) -
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meBiblio
meBiblio is a bibliography tool
meBiblio was specially developed as a small and accessible Python-based bibliography tool. meBiblio can organize your reference library, allows easy search in your references and permits immediate retrieval and examination of digitally stored literature items. It connects to online catalogs as PUBMED to retrieve data. -
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Desktop free-form text database in which each record may contain an arbitrary collection of fields. Each field and record has its own style and colour. Efficient text searching - text is indexed as it is entered. Inspired by Blackwell Idealist.
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BlackRay is a persistent in-memory high performance relational database written in C++. It combines regular database features with search engine like performance. Please visit https://forge.softmethod.de for the main development site.
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DataFinder is a data management client developed in Python that primarily targets the management of scientific technical data. The system is able to handle large amounts of data and can be easily integrated in existing working environments.
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BlackRay is a high performance relational database, which combines regular database features with search engine like performance. Full transaction support, SQL and version controlled persisted snapshots characterize BlackRay.
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Document summarization system. By adding document content to system, user queries will generate a summary document containing the available information to the system.
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PapyDVD. A DVD movies database software. Developed for storing personal movie DVD in a very easy way! You can insert them, search them and categorize by genre and director.
