RtFM: Open retrieval layer for AI agents with Obsidian integration

RtFM: Open Retrieval Layer for AI Agents with Obsidian Integration

RtFM is an open-source retrieval layer designed to enhance AI agents by providing robust information retrieval capabilities. It integrates seamlessly with Obsidian, a popular knowledge management tool, allowing AI agents to access and leverage your personal notes and documents. This tool is built for developers looking to equip their AI agents with sophisticated memory and context management.

What RtFM Does

RtFM acts as a bridge between your AI agent and your knowledge base. It indexes your Obsidian vault, making your notes searchable and retrievable. This enables AI agents to understand context, recall past information, and generate more relevant and informed responses. By leveraging advanced search techniques, RtFM ensures that the most pertinent information is surfaced efficiently.

Key Features

• Open-Source Retrieval Layer: Provides a flexible and customizable foundation for AI agent memory.
• FTS5 Integration: Utilizes FTS5 for fast and efficient full-text search capabilities.
• Semantic Search: Incorporates semantic search to understand the meaning and context of queries, not just keywords.
• Obsidian Note Integration: Seamlessly connects with your Obsidian vault, allowing agents to access your personal knowledge base.
• Developer-Focused: Designed with developers in mind, offering a technical solution for AI agent development.

Who RtFM is For

RtFM is specifically for AI developers and builders who are creating AI agents that require access to a persistent and extensive knowledge base. If you are building custom AI assistants, chatbots, or any agent that needs to remember and utilize information from your personal notes or documents, RtFM is a valuable tool. Its integration with Obsidian makes it particularly useful for individuals who already use Obsidian for their note-taking and knowledge management.