SLS : Neural Information Retrieval(IR)-based Semantic Search model
A fully interactive domain-specific chatbot implemented using Prolog and PySwip.
About Twitter Searcher is a search engine which searches documents in the corpus of tweets scrapped from your Twitter homepage. The search engine is the implementation of the Vector Space Model. The tweets are scrapped using selenium and stored in MongoDB as a corpus. MongoDB is a document-based Database System.
Solutions from the Advent of Haystack 2024 event, exploring Haystack framework fundamentals through advanced RAG pipelines and intelligent agents
Moogle!, A basic System of Information Retrieval. First Programming Project
An autonomous research agent that synthesizes detailed reports by combining dynamic planning, unsupervised topic discovery (PCA/KMeans) HyDe (hypothetical doc embeddings), and a self-correcting reflexion loop.
An information retrieval system for boolean queries, proximity quries and wildcard queries using Inverted indexing, Biword indexing, positional indexing and soundex indexing.
Project repository for the development of a Question-Answering (QA) information retrieval system fine-tuned on customer queries.
Library Management System is an application which refers to library systems which are generally small or medium in size. It is used by librarian to manage the library using a computerized system where he/she can add new books and Page sources.
Rank based information retrieval system. Ranking done based on Tf-Idf scores of documents and queries
RAG-PDF Assistant — A simple Retrieval-Augmented Generation (RAG) chatbot that answers questions using custom PDF documents. It uses HuggingFace embeddings for text representation, stores them in a Chroma vector database, and generates natural language answers with Google Gemini. In this example, the assistant is powered by a few school policy doc
Information Retrieval System for text documents.
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