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- Partition configuration for indexing local data based on user accounts - Store indexed data in an underlying postgres db using the `pgvector` extension - Add migrations for all relevant user data and embeddings generation. Very little performance optimization has been done for the lookup time - Apply filters using SQL queries - Start removing many server-level configuration settings - Configure GitHub test actions to run during any PR. Update the test action to run in a containerized environment with a DB. - Update the Docker image and docker-compose.yml to work with the new application design
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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