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Building blocks for rapid development of GenAI applications
📄 🤖 AI for medical and scientific papers
🥥 Coco AI App - Search, Connect, Collaborate, Personal AI Search and Assistant, all in one space.
A lightweight, production-ready RAG (Retrieval Augmented Generation) library in Go.
Vector search demo with the arXiv paper dataset, RedisVL, HuggingFace, OpenAI, Cohere, FastAPI, React, and Redis.
A JavaScript library that brings vector search and RAG to your browser!
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.
🥥 Coco AI Server - Search, Connect, Collaborate, AI-powered Enterprise Search, all in one space.
An in-memory NoSQL database implemented in Python.
Search through all your personal data efficiently like web search.
Finding all pairs of similar documents time- and memory-efficiently
BM25 search implemented in PL/pgSQL
COVID-19 Open Research Dataset (CORD-19) Analysis
Document Search Engine project with TF-IDF abd Google universal sentence encoder model
Adobe Reader is a reliable and widely used application for viewing, printing, and annotating PDF files
faster BM25 search algorithms in Python
PostgreSQL-native semantic search engine with multi-modal capabilities. Add AI-powered search to your existing database without separate vector databases, vendor fees, or complex setup. Features text + image search using CLIP embeddings, native SQL joins, and 10-minute Docker deployment.
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.
Chat with your PDFs using AI! This Streamlit app uses RAG, LangChain, FAISS, and OpenAI to let you ask questions and get answers with page and file references.
AI-powered file launcher and semantic search assistant. Like Spotlight/Alfred but with advanced AI capabilities for understanding context and meaning. Features local processing, privacy-first design, and seamless integration with your workflow.