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

说明与用途

Find My Thingy 让用户将文档本地存储并使用自然语言提问，返回带有来源引用的答案，消除了手动搜索文件的痛点。

问题

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

结果

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

工作流

• 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

证据

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

来源

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

来源

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

来源

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

来源