Aman FAQs

Question 1

What is Aman and how does it simplify codebase queries?

Accepted Answer

Aman is a zero-configuration, local RAG (Retrieval Augmented Generation) solution that allows developers to privately and seamlessly search their codebase for answers, insights, and code snippets without data ever leaving their machine.

Question 2

How does Aman ensure the privacy and security of my codebase?

Accepted Answer

Aman is built as a privacy-first, local solution. All processing, indexing, and querying happen entirely on your machine, ensuring your sensitive codebase never leaves your local environment, offering maximum security.

Question 3

What advanced search features does Aman offer?

Accepted Answer

Aman provides powerful hybrid search capabilities, combining traditional BM25 keyword matching with advanced vector search and HNSW indexing for highly relevant and efficient results. It also uses Tree-sitter for deep code understanding.

Question 4

Can Aman integrate with my preferred Large Language Models (LLMs)?

Accepted Answer

Yes, Aman is designed to integrate seamlessly with popular local LLMs, including Ollama and MLX, as well as specific models like Qwen3 and Claude-code, giving you flexibility in your RAG setup.

Aman

주요 기능

사용 사례

Aman

주요 기능

사용 사례