Redis AI technology page Top Builders

Explore the top contributors showcasing the highest number of Redis AI technology page app submissions within our community.


Redis provides access to mutable data structures such as strings, hashes, lists, sets, and sorted sets. These data structures can be manipulated using a variety of commands that are sent over a simple protocol using TCP sockets. Redis also supports various advanced features such as transactions, Lua scripting, pub/sub messaging, and bitmap operations.
The solutions from Redis provide an additional range and capabilities to solutions built on transformer technologies. RediSearch, RedisJson, and other Redis modules allow for building the next generation of AI-Native software solutions.

Relese dateApril 10, 2009
Typein-memory data store


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Redis - Projects

  • ChatGPT Memory Allows to scale the ChatGPT API to multiple simultaneous sessions with infinite contextual and adaptive memory powered by GPT and Redis datastore
  • ChatGPT Retrieval Plugin The ChatGPT Retrieval Plugin repository provides a flexible solution for semantic search and retrieval of personal or organizational documents using natural language queries

Redis AI technology page Hackathon projects

Discover innovative solutions crafted with Redis AI technology page, developed by our community members during our engaging hackathons.

WebML Assist

WebML Assist

Elevate the realm of machine learning with "WebML Assist." This innovative project integrates the power of WebGPU and the capabilities of the "BabyAGI" framework to offer a seamless, high-speed experience in machine learning tasks. "WebML Assist" empowers users to build, train, and deploy AI models effortlessly, leveraging the parallel processing of GPUs for accelerated training. The platform intuitively guides users through data preprocessing, model architecture selection, and hyperparameter tuning, all while harnessing the performance boost of WebGPU. Experience the future of efficient and rapid machine learning with "WebML Assist." Technologies Used: WebGPU OpenAI APIs (GPT-3.5, GPT-4) BabyAGI Pinecone API (for task management) (for no-code AI components) Python (for backend) Redis (for data caching) Qdrant (for efficient vector similarity search) Generative Agents (for simulating human behavior). AWS SageMaker (for developing machine learning models quickly and easily build, train, and deploy). Reinforcement learning (is an area of machine learning concerned with how intelligent agents). Categories: Machine Learning AI-Assisted Task Management Benefits: "WebML Assist" brings together the capabilities of WebGPU and AI frameworks like "BabyAGI" to provide an all-encompassing solution for ML enthusiasts. Users can seamlessly transition from data preprocessing to model deployment while harnessing the GPU's power for faster training. The incorporation of AI agents ensures intelligent suggestions and efficient task management. By integrating AI, GPU acceleration, and user-friendly interfaces, "WebML Assist" empowers both novice and experienced ML practitioners to unlock the true potential of their projects, transforming the way AI models are built, trained, and deployed.



GhaGeni is developed using Web Assembly (WSAM) and Flutter. It incorporatesGoogle Cloud's large language model (Palm2 )for intelligent conversations. The user interface is designed for a seamless experience. GhaGeni utilizes a Redis database for efficient data management and prompt storage. The core idea behind GhaGeni is to provide users with a fresh perspective and help them overcome mental roadblocks by asking thought-provoking questions. It recognizes that individuals often struggle to remember crucial details or fully explore different angles when working on complex tasks. GhaGeni steps in to bridge that gap and facilitate a more fruitful and efficient problem-solving experience. When a user engages with GhaGeni, they begin by stating their objective or desired outcome. It could be anything from designing a website to planning a marketing campaign. GhaGeni then responds with a set of three questions related to the user's objective. These questions are carefully crafted to prompt the user to consider various aspects, explore different angles, and uncover hidden insights. As the user responds to each question, GhaGeni dynamically generates the next set of three questions based on their previous answers. This iterative process guides the user down a path of continuous discovery and exploration. The questions become increasingly tailored and specific to the user's unique needs, enabling them to dive deeper into their project and consider aspects they may have overlooked. Whether you're a professional working on a complex project, a student grappling with an academic task, or an individual looking for inspiration and guidance, GhaGeni is there to support you every step of the way. Embrace the power of interactive conversations and unlock your true genius with GhaGeni.