3 Repos
AI-powered retrieval of information from a user's private files, emails, and personal documents.
Distinct from Natural Language Querying: The candidates focus on query languages or general search engines, whereas this is specifically about retrieving personal user data for AI context.
Explore 3 awesome GitHub repositories matching artificial intelligence & ml · Personal Data Retrieval. Refine with filters or upvote what's useful.
This project is a retrieval-augmented generation pipeline designed for building custom ChatGPT plugins that allow language models to query private or professional documents. It implements a full retrieval workflow, from processing and indexing document chunks to retrieving relevant context for natural language queries. The system distinguishes itself through a hybrid retrieval approach that combines dense vector embeddings with sparse keyword matching, further refined by a two-stage semantic re-ranking process. It includes specialized data privacy tools for screening personally identifiable i
Searches through user files and emails to find answers and retrieve relevant data using natural language.
Omi is an open-source wearable AI platform that captures audio and screen data to provide real-time conversational assistance and memory. It integrates a wearable hardware development kit with a vector memory database and large language model capabilities to create a persistent digital record of user interactions. The platform is distinguished by its BLE audio streaming pipeline, which transmits raw audio from wearable hardware for real-time transcription and speaker identification. It utilizes a plugin-based agent tool framework that allows AI assistants to autonomously invoke custom functio
Utilizes vector search and metadata filters to retrieve relevant past conversations and people from a user's private history.
Spyglass is a local-first information retrieval system designed to aggregate, index, and search personal data and web content. By maintaining a private inverted index on the local device, the platform ensures that all search operations remain functional without an internet connection and that user activity stays entirely private. The system distinguishes itself through a modular lens architecture, which allows users to apply specific configuration profiles to different data domains or topics. Users can define custom crawling rules to automate the retrieval of web content or import community-c
Aggregates web content and personal documents into a private, searchable library for offline retrieval.