Omkar Konnur's repositories
RedisVectorXperience
Explore cutting-edge Redis capabilities for Vector Similarity Search, Hybrid Search (Vector Similarity + Meta Search), Semantic Caching, and an advanced RAG model integrated with a Language Model (LLM) Chatbot. Unlock the full potential of Redis as a vector database with this comprehensive showcase of powerful features.
xml-tables
Convert your local XML file into a HTML table, Export XML as CSV/JSON and Visualize XML in 2D/3D force directed d3 graphs
mar1boroman.github.io
Personal Portfolio
ask-redis-blogs
A ChatBot using Redis Vector Similarity Search, which can recommend blogs based on user prompt
databricks-patterns
Common ETL patterns and utilities for PySpark. Notebooks tested on Databricks Community edition
xml-tables-online
Online version of XML Tables, acting as a XML Formatter with syntax highlighting, ability to convert XML to a online table enabled with search, instant 2D/3D visualization with D3 and D3 force libraries. No data stored
demo-redisearch-json
A demo exploring realistic data from mobile phone users across India, using RediSearch and RedisJSON modules of Redis Enterprise
redis-commands-cheatsheet
Redis commands quick reference with live examples, syntax & complexity information
redis-movies-gen-ai
Redis Vector Similarity Search, Semantic Caching, Recommendation Systems and RAG
architectures
Collection of diagrams / brainstorming reference architectures
ExpenseFlow
Utilizing Redis Vector Similarity Search, this demo project streamlines expense categorization from bank transactions. The approach harnesses pre-trained models, sidestepping the need for finetuning. This ensures efficient, accurate expense categorization without complex model adjustments
demo-redistimeseries
A demo exploring mocked stock market data using Redis Timeseries
ml-deeplearningai
Workbook for machine learning specialization from Deeplearning.ai
redis_talk_to_docs
A simple implementation of RAG model, using redis as a vector database.
usage_tracker
Python package to track the usage of any python script, generate events and send them to a redis stream!