The official TypeScript/Node client for the Pinecone vector database
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Updated
Jul 22, 2025 - TypeScript
The official TypeScript/Node client for the Pinecone vector database
photo gallery with extended search capabilities
UC Berkeley CS186 AI Chatbot 🤖 🖥️ 🐻
Bible verse search in meaning theough embedding and vector database.
Text to image search & Image Similarity Search using @typesense
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
Converting chemical formulae to fingerprints and then compared for similarity in Milvus.
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.
A Cloudflare Worker that calculates cosine similarity between vector embeddings across topic-industry pairs to power relevance-based search.
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.
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.
NBase is a high-performance vector database for efficient similarity search, designed for machine learning embeddings and neural search applications.
Scalable API extension for advanced vector database functions. Enhance machine learning, search, and analytics applications with an API that supports efficient embedding storage and similarity searches.
An app showing similar movie posters for popular movies
Search the object inside image using gesture of finger
Using embeddings from a pre-trained language model to provide semantic search capabilities in a combobox interface, directly in the browser.
Embedded PostgreSQL with pgvector extension for Node.js applications
ParadeDb JavaScript Client Library
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