Document retrieval from Wikipedia data using graph-lab

course slides for Multimedia Information Retrieval

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

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

Document Querying with LLMs - Google PaLM API: Semantic Search With LLM Embeddings

The Intelligent "ASKDOC" project combines the power of Langchain, Azure, OpenAI models, and Python to deliver an intelligent question-answering system, that scans your PDF documents and answer queries based on its contents. It can be queried using Human Natural Language.

Client SDK for starpoint.ai

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

Run text embeddings with Instructor-Large on AWS Lambda.

Kmeans, Kmeans++, Gaussian Mixtures

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.

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.

An implementation of basic IR techniques from scratch.

We address the task of learning contextualized word, sentence and document representations with a hierarchical language model by stacking Transformer-based encoders on a sentence level and subsequently on a document level and performing masked token prediction.

Extractive QA system using JaQUAd dataset

🗂️ A document retrieval system on CORD-19 dataset

Automatic structuring of textual computer system logs using document retrieval.