🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)
SirChatalot is a Telegram bot leveraging ChatGPT, Claude or YandexGPT. It uses Whisper for speech-to-text and DALL-E, Stability AI or YandexART for image creation. It can use vision capabilities or tools/functions.
Text preprocessing, indexer constructions, and search engines implementation for information retrieval. Performance analysis done by measuring the construction time of indexers.
An internet search engine written mostly in python. Currently TF-IDF based.
🦆 DuckDuckGo from the terminal
Investigating the efficacy of Retrieval-Augmented Generation (RAG) and Corrective Retrieval-Augmented Generation (CRAG) in harnessing external knowledge to improve AI model performance and output quality.
In Development
Darvin is a Python-based voice-activated chatbot that interacts with users via microphone and speaker. It can perform web searches, play music, tell the time and date, fetch weather information, and provide Wikipedia summaries on command. Utilizing various libraries such as speech_recognition, pyttsx3, requests, pygame, and wikipediaapi.
TTDS Group Project: Video Games Search Engine. Sakib Ahamed. Dan Buxton, Kenza Amira, Wini Lau, Mansoor Ahmad
An approach to improve word sense induction systems (WSI) for web search result clustering. Exploring the boundaries of vector space models for the WSI Task. CHERTOY system. Chernenko, Tatjana and Toyota, Utaemon Institute for Computational Linguistics of University Heidelberg. 2017/2018
This library empowers developers to effortlessly query popular search engines, including Google, Bing, Yahoo, DuckDuckGo, and more. With features like multi-engine support, output flexibility, search filters, and proxy compatibility, it's a versatile solution for diverse search applications.
Template-guided Clarifying Question Generation for Web Search Clarification (CIKM'2021).
Scrape keywords from websites | automate google searches
Simple web search library
Search Engine for web and images, made with Django
Code for the paper "Learning Trustworthy Web Sources to Derive Correct Answers and Reduce Health Misinformation in Search"
CIKM'21: JPQ substantially improves the efficiency of Dense Retrieval with 30x compression ratio, 10x CPU speedup and 2x GPU speedup.
SIGIR'21: Optimizing DR with hard negatives and achieving SOTA first-stage retrieval performance on TREC DL Track.
🔍 Google from the terminal
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