Find My Thingy: A Local-First AI Memory Assistant Powered by Gemma 3 4B

Описание и применение

Приложение «Find My Thingy» позволяет пользователям хранить документы локально и задавать им вопросы на естественном языке, получая ответы с цитатами источников, что избавляет от ручного поиска.

Задача

Users struggle to locate specific information within their own documents, often spending time manually opening files and searching for keywords.

Результат

The application enables local, privacy‑preserving retrieval and question answering over user documents, reducing manual search effort and providing source‑cited answers.

Рабочий процесс

• Add documents (PDF, TXT, Markdown)
• Extract text, chunk, and create embeddings
• Retrieve relevant passages for a query
• Generate answer with Gemma 3 4B via Ollama, citing sources

Доказательства

Find My Thingy is a local-first personal memory assistant that helps you find information stored in your documents using natural-language questions.

Источник

The workflow has four main steps: Add documents, Extract and index, Retrieve relevant information, Generate an answer.

Источник

Gemma 3 4B, running through Ollama, generates an answer grounded in the retrieved information.

Источник

The application retrieves relevant passages and uses a locally running AI model to generate an answer with source citations.

Источник