> ## Documentation Index
> Fetch the complete documentation index at: https://docs.ajayji.com/llms.txt
> Use this file to discover all available pages before exploring further.

# The On-Device Vector Store

> Under the Hood

The ability to chat with your documents and create a private knowledge base is powered by a sophisticated, on-device vector store.

**How It Works:**

When you import a document, the app breaks it down into chunks of text and generates a "vector embedding" for each chunk. This vector, along with the original text, is saved to the on-device vector store. When you ask a question, the app generates a vector for your question and then uses a high-speed search algorithm to find the text chunks in the database with the most similar vectors.

**Key Architectural Features:**

* **Private and Secure:** The vector store is powered by an embedded, on-device database.
* **Multiple, Isolated Stores:** You can create multiple, named vector stores.
* **Built for Speed:** The vector store is built on a high-performance database and uses a state-of-the-art HNSW index for its vector search.