Q.What types of files does Vecy support?
A.Vecy supports PDFs, DOCX documents, images, and other file types commonly found in the Documents, Download, and DCIM directories.
Vecy is an Android AI app that enables private LLM chats using local files through RAG. It automatically processes and indexes documents, photos, and other files, allowing users to interact with their data securely. With support for multiple LLM sizes and offline functionality, it enhances response accuracy by leveraging embedding vectors generated from local content.
Vecy is an Android AI app that allows users to chat with fully-private LLMs and local files (documents, photos). It automatically processes and indexes local files on the phone, and users can also directly upload files. Vecy offers RAG tools for processing local files to enhance LLM responses. Users can select from a range of small LLMs (from 0.5B to 3.5B parameters) and engage in conversations with documents stored locally. The app automatically processes files (PDFs, DOCX documents, images, etc.) within the Documents, Download, and DCIM directories to generate embedding vectors, which are stored locally on the device. These embedding vectors are crucial for RAG (retrieval-augmented generation) capabilities, enhancing the LLM's ability to provide more accurate and relevant responses when queries are related to the local files.
A.Vecy supports PDFs, DOCX documents, images, and other file types commonly found in the Documents, Download, and DCIM directories.
A.The embedding vectors are stored locally on the device.
A.RAG (retrieval-augmented generation) enhances the LLM's ability to provide more accurate and relevant responses when queries are related to local files. Vecy uses embedding vectors generated from local files to enable RAG.