📄 🤖 Semantic search and workflows for medical/scientific papers
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Updated
Dec 3, 2023 - Python
📄 🤖 Semantic search and workflows for medical/scientific papers
Vector search demo with the arXiv paper dataset, RedisVL, HuggingFace, OpenAI, Cohere, FastAPI, React, and Redis.
This open source chatbot project lets you create a chatbot that uses your own data to answer questions, thanks to the power of the OpenAI GPT-3.5 model.
Search through all your personal data efficiently like web search.
Finding all pairs of similar documents time- and memory-efficiently
COVID-19 Open Research Dataset (CORD-19) Analysis
Document Search Engine project with TF-IDF abd Google universal sentence encoder model
A JavaScript library that brings vector search and RAG to your browser!
This code example shows how to make a chatbot for semantic search over documents using Streamlit, LangChain, and various vector databases. The chatbot lets users ask questions and get answers from a document collection. The code is in Python and can be customized for different scenarios and data.
A highly efficient, isomorphic, full-featured, multilingual text search engine library, providing full-text search, fuzzy matching, phonetic scoring, document indexing and more, with micro JSON state hydration/dehydration in-browser and server-side.
dead simple document index and search, nothing fancy
Rust-based text search engine from scratch supporting multiple document similarity metrics (TF-IDF, BM25, BM25VA)
Search anything, instantly
This module aims to make documents searchable for customers in Magento 2.
This module aims to make documents searchable with product keywords in Magento 2.
NLP Course By Deep learning.io powered by @coursera. Taught by: Younes Bensouda Mourri, Instructor of AI at Stanford University and Łukasz Kaiser, Staff Research Scientist at Google Brain.
The extended version of simhash supports fingerprint extraction of documents and images.
BM25 search implemented in PL/pgSQL
Mini desktop search engine with Binary Search Tree
Given a set of PDFs and the query, the most relevant pdf can be found with the help of TF-IDF. The code has not used any library to implement TF-IDF
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