For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.

A curated list of resources, tools, tutorials, and libraries for exploring and utilizing vector databases. This repository aims to provide comprehensive insights into the use of vector databases for efficient data retrieval, similarity search, and machine learning applications.

This repository is dedicated to my learning journey through the LangChain & Vector Databases in Production course offered by Activeloop. The course is part of the Gen AI 360 Foundational Model Certification and focuses on mastering Large Language Models (LLMs) and Vector Databases.

Leverage vector databases to swiftly construct a diverse range of applications through "Building Applications with Vector Databases" course!

IntelliSearch is an advanced retrieval-based question-answering and recommendation system that leverages embeddings and a large language model (LLM) to provide accurate and relevant information to users.

Projects Implemented for the Udacity Generative AI Engineer Nanodegree Program

Reverse image search engine with the use of vector databases and keyword search and upload image

A comprehensive, hands-on tutorial repository for learning and mastering LangChain - the powerful framework for building applications with Large Language Models (LLMs). This codebase provides a structured learning path with practical examples covering everything from basic chat models to advanced AI agents, organized in a progressive curriculum.