Vector search demo with the arXiv paper dataset, RedisVL, HuggingFace, OpenAI, Cohere, FastAPI, React, and Redis.

Retrieval-Augmented Generation, or RAG, is an innovative approach that enhances the capabilities of pre-trained large language models (LLMs) by integrating them with external data sources. This technique leverages the generative power of LLMs (Large Language Model), and combines it with the precision of specialized data search mechanisms.

Stichwortfinder für Texte in Dokumenten eines Ordners / Keyword Finder for Texts in Documents of a Directory (for English, see README-en.md)

dead simple document index and search, nothing fancy

📄 🤖 Semantic search and workflows for medical/scientific papers

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.

Information retrieval of text document using TF-IDF weighting & Cosine Similarity Algorithm.

Search through all your personal data efficiently like web search.

COVID-19 Open Research Dataset (CORD-19) Analysis

The extended version of simhash supports fingerprint extraction of documents and images.

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