{"repo":"Dripfarm/SVDB","free":true,"listed":false,"github":"https://github.com/Dripfarm/SVDB","clone":"git clone https://github.com/Dripfarm/SVDB.git","description":"Swift Vector Database. On-device, local vector database for building the next-generation of user experiences","language":"Swift","stars":223,"topics":["embeddings","llm","swift","vector-database","vector-db"],"license":"MIT","category":"databases-storage","readme_excerpt":"Swift Vector Database (SVDB) A new fast local on-device vector database for Swift Apps. Built for those building the next-generation of user experiences only possible with on-device intelligence. Local on-device vector databases are just the beginning. Installation To install it using the Swift Package Manager, either directly add it to your project using Xcode 11, or specify it as dependency in the Package.swift file: Usage 1. Create Embeddings ChatGPT: I find This Swift OpenAI package to be the best NLEmbeddings 2. Add Documents 3. Search Demo Check out the demo Demo Todo Not sure. I want to make it easier to add documents and take care of the embeddings for you. Any suggestions?","default_branch":null,"files":null,"tree":[],"storefront":"/r/Dripfarm","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Dripfarm/SVDB/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}