An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.
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Updated
May 6, 2024 - HTML
An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.
A Java client for the Sypht API
Track any ip address with IP-Tracer. IP-Tracer is developed for linux and android terminal like Termux and GNURoot Debian. you can retrieve any ip address information using IP-Tracer. https://github.com/jackind424 /IP-T…
Performs tokenization, stemming, lemmatization, index creation, index compression and ranked retrieval of Cranfield documents
An Elixir client for the Sypht API https://sypht.com
🔍 infobot is an information retrieval search engine project.
Вседържец/Vsy - The AGI Infrastructure of "The Sacred Computer" AGI Institute : Custom Intelligent Selective Internet Archiving and Exploration/Crawling; Information Retrieval, Media Monitoring, Search Engine, Smart DB, Data Preservation, Knowledge Extraction,Datasets creation,AI Generative models building and testing,Experiments etc.
Smart Search with GenAI is an AI-powered semantic search tool that delivers context-aware, summarized answers to natural language queries over structured data. It leverages Streamlit, FAISS, and Azure OpenAI for efficient vector search and LLM-based summarization.
BUPT信息与知识获取大作业
Document Search Engine using Whoosh old Python library
A lightweight, extensible toolkit for preparing, indexing, and querying textual data for semantic search and downstream NLP tasks.
Translate any Dutch text to English and vice-versa
An experiment driven Search Engine Project, developed to index and retrieve best documents given a query using ensemble of models.
A complete IR system.
Complex Query Synthesis for Enhanced Information Retrieval
From-scratch TF-IDF search relevance engine, evaluated on the Home Depot Product Search Relevance Kaggle dataset
Highly efficient vector space model implementation written in rust
From scratch C++ search engine with TF-IDF ranking and positional phrase search over a 50-document Gutenberg corpus. No libraries.
This project implements an in-memory search engine for indexing and retrieving documents from a CSV file using Python and NLTK. It preprocesses text, builds an inverted index, and ranks documents based on relevance to a query using the Okapi BM25 algorithm.
SPbAU Information retrieval course, Fall '17
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