RemEz is a descriptive question based learning platform built for students in highly theoretical subjects. The Frontend and Backend of this platform is built with the MERN stack and tailwind. This repository contains nlp code for pdf processing and descriptive QA generation via a LLM along with a similarity assessment of two descriptive answers.
Dockerized application that embeds text in a pgvecto.rs database and retrieves data with a similarity search to generate a response with an llm from ollama.
Word Mini-Game : Guess the secret word ! Play here :
Data Collection repository for Reverse Search Engine
RAG Mini Project — Retrieval‑Augmented Generation chatbot with FastAPI backend (Docker on Hugging Face Spaces) and Streamlit frontend (Render), featuring document ingestion, vector search, and LLM‑powered answers
Learning project: modular RAG pipeline for legal document search & Q&A using SBERT, Pinecone, and FastAPI.
Contextual Code Exploration for Developers
Python library for correcting registry and spelling errors in user input when comparing with a database of texts.
Building an Event Retrieval System from Visual Data participating in Ho Chi Minh's AI Challenge in 2024
AI song recommendations based on the feel of a song
Python package for labeing data more efficiently
A Python dictionary that uses semantic similarity for key matching instead of exact matches. This library allows you to retrieve values using keys that are semantically similar to the ones stored, making it ideal for natural language interfaces, etc.
A Cross-Lingual, Context-Aware and Fully-Neural Sentence Alignment System for Long Texts.
Demonstrating RAG with streamlit.
vector db built by someone with no idea how to build a vector db
✍️ Convert class slides into beautiful markdown notes!
An open-source project for crawling RSS feeds and websites, extracting news content, and storing it with vector embeddings for semantic search, clustering and visualization..
Molecular substructure graph attention network for molecular property identification in drug discovery. This is the starting point for my thesis project and is the fork of a repository from the paper https://doi.org/10.1016/j.patcog.2022.108659
Using embeddings to create memory.
The streamlit application for everyone who want to chit chat with their documents.
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