weaviate vector database trial (Local only)
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Updated
Apr 30, 2023 - JavaScript
weaviate vector database trial (Local only)
AI YouTube Video Chat application, to ask questions to a YouTube video bot and get answers.
Vector Search (meaningful / semantic search) using open ai embeddings
User uploads a selfie and the application will use Vector search to decide which Starwars character you look the most like, Powered by MongoDB Atlas Vector Search and Python Face Recognition API. Frontend: React
A Web app stack written in FastAPI, Qdrant, and React for creating AI projects
Node Proxima converts your repo into embeddings using OpenAI.
FlipDrip AI, your personalized fashion destination! Discover the latest trends tailored just for you.
Helper package to spin-up a Qdrant instance without Docker
A SIH-2023 project featuring an offline LLM for document summarization and Q&A, with Node.js APIs and OCR for text-based interactions.
Use case of similarity recommendations for food products with vector database
Kubernetes operator for Qdrant
Couch Pilot recommends a top 500 IMDb movie based on a user's answers to three questions. It solves the chore of picking a movie when you can't decide or can't find something to watch.
Using USearch vector-search engine for RAG with LangChain
Our powerful image search engine uses vector databases to store and search for similar images. Upload your images and use an input image to quickly identify the closest matches. With our app, you can easily organize and search your image collection with speed and accuracy. Try it today!
Hands-on with Milvus vector db
A Node.js RESTful server for a Retrieval-Augmented Generation (RAG) system using ChromaDB and Ollama!
A CLI chatbot that uses RAG architecture for improving and adapting LLM to specific context. It allows users to ask questions and get response directly from open-source LLMs(OpenAI, MistralAI etc.) or from the information on a website which is provided as context using the RAG architecture.
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