Building a movie recommender app backend using MongoDB Atlas Search and local embeddings. Features include efficient searches, user interaction, and logging for debugging.
-
Updated
Jun 2, 2024 - Jupyter Notebook
Building a movie recommender app backend using MongoDB Atlas Search and local embeddings. Features include efficient searches, user interaction, and logging for debugging.
8 Lessons, Get Started Building with Generative AI and Gemini API
An animal can do training and inference every day of its existence until the day of its death. A forward pass is all you need.
RAG Chat Assistant with MongoDB Atlas, Google Cloud and Langchain
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..
The open source Firebase alternative.
This repository is my platform to learn, experiment, and innovate with LLMs. Here I try to dive in and discover diverse applications, research experiments, and projects fueled by the power of language models.
The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.
An app for writers who thrive in a less structured environment. Neptune Project uses advanced semantic search and a customizable workspace to enhance your creative writing process. Capture spontaneous ideas, get contextual suggestions, and enjoy effortless navigation. Unleash your creativity with Neptune Project.
This project uses advanced NLP and semantic search to navigate YouTube video transcripts. By segmenting transcripts and using a vector store, it provides contextually relevant search results. Integrating ChatGPT for query processing ensures high-quality answers, enhancing user experience. Ideal for educational platforms, content creators, and viewe
the AI-native open-source embedding database
Intelligent data steward toolbox using Large Language Model embeddings for automated Data-Harmonization
The 💌 Gmail Email Processor is a Python-based tool designed to process Gmail mbox files, extract email content, and save the processed emails into organized text files. It decodes MIME words, normalizes text to ensure a maximum of two consecutive line breaks, and cleans email bodies to remove unwanted characters.
Java version of LangChain
EDA tools and datasets generator for ML projects
Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.h2o.ai/
Magick is a cutting-edge toolkit for a new kind of AI builder. Make Magick with us!
Add a description, image, and links to the embeddings topic page so that developers can more easily learn about it.
To associate your repository with the embeddings topic, visit your repo's landing page and select "manage topics."