This system contains the API server, neural models, and UI client, a neural search engine for the COVID-19 Open Research Dataset (CORD-19) , and is referred to covidex.
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Updated
Aug 10, 2021 - TypeScript
This system contains the API server, neural models, and UI client, a neural search engine for the COVID-19 Open Research Dataset (CORD-19) , and is referred to covidex.
This project aims to develop a chat platform that leverages embeddings and a vector database to provide personalized and contextually relevant conversations. The platform allows users to engage in chat interactions by providing information such as files or website URLs, enabling an intelligent and tailored conversation experience.
Web Vector Storage (WVS) is a lightweight and efficient vector database that stores document vectors in the browser's IndexedDB. It supports perform semantic similarity searches on text documents using vector embeddings. Embedding is enabled through use of OpenAI, Ollama or HuggingFace Transformer embedding models.
Text to image search & Image Similarity Search using @typesense
Converting chemical formulae to fingerprints and then compared for similarity in Milvus.
This project uses Milvus and Bert to build a text search system.
Simple library for finding duplicate and near-duplicate text documents in massive sets/libraries/databases
UC Berkeley CS186 AI Chatbot 🤖 🖥️ 🐻
photo gallery with extended search capabilities
The official TypeScript/Node client for the Pinecone vector database
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