document-retrieval

There are 67 repositories under document-retrieval topic.

  • COM3110-Document-Retrieval-Assignment

    Language:Python1

  • document-retrieval

    Language:Jupyter Notebook1

  • NLP2024Z_PDF_Assistant

    Language:Jupyter Notebook

  • Information-Retrieval

    An implementation of basic IR techniques from scratch.

    Language:Python1

  • Machine-Learning-GraphLab

    Machine Learning Algorithms using GraphLab

    Language:Jupyter Notebook1

  • document-retrieval-system

    A program to construct and read an inverted index.

    Language:Python1

  • AI-Powered-Documentation-Retrieval-Assistant-for-Open-Source-Projects

    An AI tool that uses the Ollama Mistral LLM for understanding and summarizing code, with Ollama all-MiniLM-v3 embeddings stored in a ChromaDB vector database. It provides automatic documentation summaries, answers questions, and generates contribution guides to simplify onboarding and boost productivity for open-source developers

    Language:Python

  • CodeXpert

    CodeXpert: A cutting-edge AI-powered code analysis tool leveraging CodeLlama, FAISS, and HuggingFace for efficient code understanding, explanation, and optimization. 🚀✨

    Language:Python

  • AetherCare_ChatBot

    This repository contains a healthcare-based chatbot project that integrates advanced generative AI techniques with document retrieval for answering medical queries. It leverages vector-based search for relevant information retrieval and uses transformer-based models for generating responses.

    Language:Jupyter Notebook

  • Document-Retrieval_QueryMorphAi

    This project implements a Document Retrieval System that integrates GPT-3.5-turbo for query expansion and answer generation. It fetches and ranks documents based on user queries, leveraging MongoDB for document storage, Redis for caching, and web scraping to keep documents updated. The system is designed to provide fast and accurate search results

    Language:Python

  • Flask-Based-API-for-Document-Retrieval

    It is a Document Retrieval and searching system which is based on Pinecone Database, and it is based on Flask and Fast APO

    Language:Python

  • document-retrieval-caching

    Building a backend for document retrieval with caching.

    Language:Python

  • STARTUP-IN-ICT-Project

    The project consists in launching DocHub, a startup with the aim of simplifying the retrieval of digital documents in Italy by developing a platform that collects in one place all the digital documents of a person, simplifying the daily life of people

  • Document-Retrieval-Based-Chat-Bot

    Chat-Bot made using whisper live, speechbrain and open AI API

    Language:Python

  • LLM_LangChain_ChatBot

    LLM_LangChain_ChatBot is a contextual document retrieval chatbot that leverages LangChain to process user queries and generate accurate responses based on the content of retrieved documents. Ideal for applications requiring precise information retrieval and context-aware interactions.

    Language:Jupyter Notebook

  • sense_aware_query_expansion

    An off-the-shelf, corpus-agnostic query expansion tool for information retrieval systems.

    Language:Python

  • Documents-Retrieval

    Evaluations among different Retrieval Models with open source platforms/tools.

    Language:Perl

  • langchain_chat_with_data

    Dive into LangChain, a powerful platform that lets you interact with your data like never before. This guide offers insights on its unique capabilities, helping you tap into your data in conversational ways.

    Language:Jupyter Notebook

  • EULA

    An attempt of creating a model and pipeline for retrieving italian legal documents given a prompt from the user.

    Language:Jupyter Notebook

  • Project-JaQUAd-QA-System

    Extractive QA system using JaQUAd dataset

    Language:Jupyter Notebook

  • RELEVANT-DOCUMENT-RETRIEVAL

    A NLP based project to get the relevant documents from a bundle of large number of documents

    Language:Jupyter Notebook

  • Information-Retrieval

    A basic and intuitive Python module for (Vector Space) IR system. (Focuses on simplicity and understandability)

    Language:Python

  • bookish-waddle

    Implement Document Retrieval techniques to find who is closest to whom based on wikipedia data.

    Language:Jupyter Notebook

  • ProxLogPRF

    ProxLogPRF: A Proximity-based Log-logistic Feedback Model for Pseudo-relevance Feedback

    Language:Java

  • NLP-BERT-Retrieval

    Document Retrieval using BERT.

    Language:Python

  • Document-Reranking

    Assignment on Document Reranking

    Language:Python

  • IRIS

    This repositiory implements various concepts and algorithms of Information Retrieval such as document classification, document retrieval, positional and logical text queries, Rocchio algorithm, retrieval evaluation metric etc.

    Language:Jupyter Notebook

  • sinhala-song-lyrics-search-engine

    Elasticsearch based song lyrics search engine for Sinhala.

    Language:Python

  • Graphlab-ML-Projects

    These individiual projects are part of the coursework for the Coursera University of Washington course. I've also tried some fun new experiments with the data. Have fun checking them out !!

    Language:Jupyter Notebook

  • Document-Retrieval

    Document retrieval from Wikipedia data using graph-lab

    Language:Jupyter Notebook

  • clustering

    Kmeans, Kmeans++, Gaussian Mixtures

    Language:Python