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 date||April 10, 2009|
|Type||in-memory data store|
Great tutorials on how to build with Redis!
- E-commerce chatbot build with Redis and Langchain: a step-by-step tutorial
- Redis tutorial: Text to Image AI assistant with Redis Search
- Efficient vector similarity search with Redis: a step-by-step tutorial
👉 Discover more Redis Tutorials on lablab.ai
Redis - Helpful Resources
Check it out to become Redis Master!
- Redis Redis website
- Redis Docs Documentation of Redis
- Redis Repo Open-source Redis repository
- Redis Cloud Redis Cloud Solution
Redis - Clients
Connect Redis to your Project!
- Redis Python Client Python Client for Redis
- Redis Node High-Performance Redis Client for Node.js
- Redis Go Go Client for Redis
- Redis Ruby Ruby Client for Redis
Redis - Boilerplates
Get started with Redis!
- Redis x OpenAI - Q&A Project How to utilize Redis to build a Q&A system with OpenAI?
- Paper Search App powered by Redis Speed up your research with Redis!
- Redis: AI Resources List of projects/tools/ideas for using Redis with AI
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.
StableCode as Database interface agent
We utilize a multi-agent setting to create a language-to-database interface. Think Code Interpreter but with multiple models that can be hosted locally or on-premise and your data never leaves your laptop. LLMs enable no-code future. Any person or business with data will be able to interact with it without any coding or hiring an engineer. We believe that the multi-agent paradigm will enable that. In our demo first layer of the system is a non-coding LLM that interacts with the user via chat, when code needs to be written, it passes the task down to StableCode, which is then executed. If there are bugs, agents iteratively fix them until the code is working. In the future agents will be able to code systems of arbitrary complexity.
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) FineTuner.ai (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.
Therapeutic AI companionship for Alzheimers
Almond is an Android app that provides AI companionship for Alzheimer's patients, aiming to offer caregivers peace of mind and more personal time, while ensuring patients feel cared for, engaged, and content. It calms the patient down by answering questions patiently, instantly and empathetically from past recordings as long-term memory, and apply therapeutic fibbing to distract and detach patients from undesired topics and delusions. Tech stack: Native Android frontend, Microsoft Cognitive for Speech-to-Text, Eleven Labs for Text-to-Speech, Redis Vector DB + OpenAI text-embedding-ada-002 Embedding + OpenAI GPT4 Question answering for RAG.
Casper is a robot in the RobotForge arsenal that enable auto dubbing of audio and video content from one language to another, With the help of ElevenLabs API we are able to offer our output in the speakers own voice. Other technologies used included Microsoft Cognitive services for Speech to text and Google translate. The purpose of this was to make content universal regarding what language you speak. As more people access the internet they will need to have content ready for them in their language. This helps them achieve that. They are no longer siloed to content in their own language but can get relevant information from any where regardless of the source language. English dominates the internet in audio and video content and this can be a barrier for non English speakers especially speakers of regional indigenous languages such as Zulu, Hoikken and even Klingon and Navi. Use case for Casper cuts across industry but there is great benefit in the Entertainment, Educational and Marketing industries
Let them talk - Auto-GPT Virtual Influencer
Let Them Talk is an innovative platform that utilizes the power of Al to revolutionize social media interactions. Powered by AutoGPT and LangChain, our application enables autonomous and engaging conversations on Instagram. Interactive Conversations: creates engaging and interactive human like conversations that captivate your audience. Multi-Faceted Approach: The integration of AutoGPT and LangChain enables complex language tasks and efficient conversation management. Innovative Solution: provides a practical and innovative approach to social media automation that takes just seconds to set up.
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.