Alexis is an app that uses RedisAI and RediSearch to retrieve information from a corpus (knowledge source) in response to a query.
-
Updated
Sep 10, 2023 - TypeScript
Alexis is an app that uses RedisAI and RediSearch to retrieve information from a corpus (knowledge source) in response to a query.
This repository contains examples of using various libraries/tools for MLOps.
An example of using Redis + RedisAI for a microservice that predicts consumer loan probabilities using Redis as a feature and model store and RedisAI as an inference server.
A high-performance JavaScript client for RedisAI
Java client for RedisAI
AIBench, a tool for comparing and evaluating AI serving solutions. forked from [tsbs](https://github.com/timescale/tsbs) and adapted to AI serving use case
RedisAI integration for MLFlow
Redisplanet - An Ultimate Hands-on Labs on Redis
Docker image with select Redis Labs modules for the Edge
An example of using Redis Streams, RedisGears and RedisAI for Realtime Video Analytics (i.e. filtering cats)
SmartSim Infrastructure Library Clients.
Java client libraries for redis-modules https://redis.io/modules, based on Redisson. https://github.com/redisson/redisson
An example of using Redis Streams, RedisGears, RedisAI and RedisTimeSeries for Realtime Video Analytics (i.e. counting people)
A Redis module for serving tensors and executing deep learning graphs
Add a description, image, and links to the redisai topic page so that developers can more easily learn about it.
To associate your repository with the redisai topic, visit your repo's landing page and select "manage topics."