AI_RAG delivers a modular retrieval-augmented generation solution that combines document indexing, vector search, embedding generation, and LLM-driven response composition. Users prepare corpora of text documents, connect a vector store like FAISS or Pinecone, configure embedding and LLM endpoints, and run the indexing process. When a query arrives, AI_RAG retrieves the most relevant passages, feeds them alongside the prompt into the chosen language model, and returns a contextually grounded answer. Its extensible design allows custom connectors, multi-model support, and fine-grained control over retrieval and generation parameters, ideal for knowledge bases and advanced conversational agents.

Obsidian GPT Assistant is an AI tool designed for Obsidian users, enhancing the note-taking experience by offering automated suggestions, context-aware insights, and streamlined workflows. This assistant can generate summaries, expand on ideas, and even assist in research by pulling relevant information directly from your vault, making it easier to manage and utilize your knowledge base effectively.