AI powered Video-Frame Analysis
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Updated
Apr 20, 2024 - TypeScript
AI powered Video-Frame Analysis
Vector Database by Relevance AI. Fast and simple with support for chaining.
🚀 Hermes harnesses the power of GPT technology to create interactive conversations with your PDF documents. This innovative open-source tool transforms your PDFs into dynamic chatbots!
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 GPT powered CLI chatbot to talk with your speeches 🤷🏾♂️
Vector Storage is a lightweight, browser-based database that enables semantic similarity searches and local storage of text vectors, offering privacy, low latency, and cost-effectiveness for NLP applications.
React Hook for indexed-vector-store package
A customization chat with AI 🧐
Workshop LLM and Database Vector at Google DevFest Cerrado 2023, Goiânia, Goiás, Brazil.
Hack The North 2023 - Platform that empowers individuals to extract valuable takeaways from their own reflections, ultimately leading to more purposeful and productive lives
Genkit AI framework plugin for HNSW vector database. save data into vector store for Retrieval Augmented Generation (RAG) implementation in Generative AI
Created a custom chatbot that will reply to your question based on the data stored in it's memory.Technology used are prisma ORM, mongoDB, pineconeDB to store vectors, openAI Text-embedding-ada-002-v2 to embed the text. I have followed a youtube tutorial to learn this.
LLM application which utilises cutting edge libraries such as langchain to generate responses for businesses looking to know more about the different SG policies that can support them. Uses Retrieval Augmented Generation with vector database.
Simple Discord Bot that allows you to search for messages semantically. (using OpenAI’s text embeddings)
Chat to any pdf using GPT powered ai that is Chatify platform for you
This project has been created to demonstrate how we can build modern Search Engines using a straightforward structure of Text Embeddings (Huggingface Transformers) and a Vector Database.
Self hosted app that gives ChatGPT context from your markdown files right in your browser using IndexedDB to store embedding vectors
Semantic Book Search Recommendations
A project to scrap official doc of nextjs and save embeding datas to Neon Vector database.
Mood is an AI-driven journaling web app designed to help users track their sentiments and moods over time. It offers advanced sentiment analysis and question-based similarity searches, making journaling an insightful and engaging experience.
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