Local RAG Researcher Deepseek combines Deepseek’s powerful file crawling and indexing capabilities with vector-based semantic search and local LLM inference to create a standalone retrieval-augmented generation (RAG) agent. Users configure a directory to index various document formats—including PDF, Markdown, text, and more—while custom embedding models integrate via FAISS or other vector stores. Queries are processed through local open-source models (e.g., GPT4All, Llama) or remote APIs, returning concise answers or summaries based on the indexed content. With an intuitive CLI interface, customizable prompt templates, and support for incremental updates, the tool ensures data privacy and offline accessibility for researchers, developers, and knowledge workers.

Expenses Day is an AI-powered OCR API that allows users to easily digitalize a wide range of expenses, including receipts, bank statements, invoices, and more. The API handles multiple expense types within a single request and ensures secure document processing with automatic deletion after the request is completed. It is designed to read and process various document formats such as PDFs, images, CSVs, Microsoft Office files, and even handwritten notes, making expense management more efficient and accurate.