Stop Building Vanilla RAG: Embrace Agentic RAG with DeepSearcher

What this post added

This post introduces DeepSearcher, an open-source project implementing an agentic RAG framework. It details the architecture with a Data Ingestion Module (parsing, embedding, vector storage via Milvus) and an Online Reasoning and Query Module that uses iterative retrieval and reflection for complex queries. The post contrasts agentic RAG with traditional RAG, highlighting benefits like proactive problem-solving and dynamic multi-turn retrieval. It provides examples of its application in overview-type queries and discusses its transparency through logging of search and reasoning steps.