Garudust Agent integrates RAG without vector databases

Garudust Agent has launched a new feature that allows users to chat with their documents without needing a separate vector database. The system utilizes SQLite's FTS5 with a trigram tokenizer for efficient full-text search, enabling quick ingestion and querying of PDFs, text files, and other document types. This approach simplifies the process of building a knowledge base or analyzing documents by integrating RAG capabilities directly into the agent. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT Simplifies document interaction by removing the need for complex vector database setups.

RANK_REASON The cluster describes a new feature for an existing agent, which falls under tooling.

Read on dev.to — LLM tag →

• FTS5
• Garudust Agent
• SQLite

• product
• infra