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Context for your AI agents
Crawl websites, sync to vector databases, and power RAG applications. Pre-built integrations for LLM pipelines and AI assistants.
Build data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
LangchainRB is a Ruby implementation of LangChain, allowing developers to build AI-driven applications using large language models (LLMs) and knowledge graphs.
A model-agnostic Ruby Generative AI DSL and framework
Sublayer is a platform that enables developers to build and deploy machine learning models with ease, focusing on simplifying the ML lifecycle from development to production.
AWS CodeDeploy is a fully managed deployment service that automates software deployments to a variety of compute services such as Amazon EC2, AWS Fargate, AWS Lambda, and your on-premises servers. AWS CodeDeploy makes it easier for you to rapidly release new features, helps you avoid downtime during application deployment, and handles the complexity of updating your applications. You can use AWS CodeDeploy to automate software deployments, eliminating the need for error-prone manual...
Huginn is an open-source system for building agents that perform automated tasks by monitoring websites, APIs, emails, and more. Inspired by IFTTT, Huginn lets users create complex workflows and conditional logic to react to events and manage data. It’s self-hosted, highly customizable, and suitable for developers who want full control over automation without relying on third-party platforms.
Run applications fast and securely in a fully managed environment
Cloud Run is a fully-managed compute platform that lets you run your code in a container directly on top of scalable infrastructure.
Run frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
Spark is a physical simulation system. The primary purpose of this system is to provide a *generic* simulator for different kinds of simulations. In these simulations, agents can participate as external processes.
ExPo: Exchange Portal is an online financial trading exchange platform designed to run controlled scientific trading experiments between human traders and automated trader robots.
L.I.D.I.A is a chatterbot developed in Ruby implementing AIML
Acording to Wikipedia chattetbot is: "a computer program designed to simulate an intelligent conversation with one or more human users via auditory or textual methods, primarily for engaging in small talk". Main objective of project L.I.D.I.A was to create fully operational chatterbot implementing AIML with working dataset. AIML interpreter, is developed in Ruby 1.8.
Two datasets were developed. First called "Lidia" - your personal assistant, and second called "Mr. Grape F." which was able to simulate dietician.
...The chatbot engine uses a knowledge base organized in an XML file and WordNet for dictionary lookup. The IRC Bot has some WordNet- and Web-based functionality and is hot-extensible through Ruby programs.
Collect public data at scale with industry-leading web scraping solutions
See your detailed proxy usage statistics, easily create sub-users, whitelist your IPs, and conveniently manage your account. Do it all in the Oxylabs® dashboard. Save your time and resources with a data collection tool that has a 100% success rate and does all of the heavy-duty data extraction from e-commerce websites and search engines for you. With our provided solutions and the best proxies, focus on data analysis rather than data delivery. We make sure that our IP proxy resources are stable and reliable, so no issues occur during scraping jobs. We continuously work on expanding the current proxy pool to fit every customer's needs. Our clients & customers can reach out to us at any time, and we respond to their urgent needs around the clock. Choose the best proxy service and we’ll provide all the support you need. We want you to excel in scraping jobs, so we share all the know-how we have gathered over the years.
This is a recommendation system built in ruby which is able to generate recommendations for user inputted data (a text file and a ratings matrix). It works on a hybrid model of collaborative filtering and content based filtering.
Prastava (hindi for "suggestion") - a generic open source recommendation system built entirely in ruby. This system gives recommendations to users on the basis of their past likings (ratings of items) and an item file(for content based similarity).