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76562f4250
* Initial version - setup a file-push architecture for generating embeddings with Khoj * Use state.host and state.port for configuring the URL for the indexer * Fix parsing of PDF files * Read markdown files from streamed data and update unit tests * On application startup, load in embeddings from configurations files, rather than regenerating the corpus based on file system * Init: refactor indexer/batch endpoint to support a generic file ingestion format * Add features to better support indexing from files sent by the desktop client * Initial commit with Electron application - Adds electron app * Add import for pymupdf, remove import for pypdf * Allow user to configure khoj host URL * Remove search type configuration from index.html * Use v1 path for current indexer routes
An AI personal assistant for your digital brain
Khoj is a desktop application to search and chat with your notes, documents and images.
It is an offline-first, open source AI personal assistant accessible from your Emacs, Obsidian or Web browser.
It works with jpeg, markdown, notion, org-mode, pdf files and github repositories.
| 🔎 Search | 💬 Chat |
|---|---|
| Quickly retrieve relevant documents using natural language | Get answers and create content from your existing knowledge base |
| Does not need internet | Can be configured to work without internet |
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