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.
Search anything, instantly
A JavaScript library that brings vector search and RAG to your browser!
Stichwortfinder für Texte in Dokumenten eines Ordners / Keyword Finder for Texts in Documents of a Directory (for English, see README-en.md)
Mini desktop search engine with Binary Search Tree
Open Source Search Engine with built-in web/document crawler and an indexing method.
Vector search demo with the arXiv paper dataset, RedisVL, HuggingFace, OpenAI, Cohere, FastAPI, React, and Redis.
📄 🤖 Semantic search and workflows for medical/scientific papers
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.
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.
Website in PHP to index all pdf content and easy way to find any text
Document Search Engine project with TF-IDF abd Google universal sentence encoder model
Apache Solr Document Search and Indexing Analysis with OCR
Search through all your personal data efficiently like web search.
COVID-19 Open Research Dataset (CORD-19) Analysis
Finding all pairs of similar documents time- and memory-efficiently
The extended version of simhash supports fingerprint extraction of documents and images.
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