文章摘要
The article compares RAG Servers and Model Context Protocol (MCP) Servers as distinct approaches for enabling AI access to databases.
- MCP Servers utilize the Model Context Protocol, described as an open standard from Anthropic, to translate natural language into structured database queries and commands for real-time interaction.
- These servers are built for programmatic execution against transactional databases, handling complex operations and returning structured results to AI models.
- RAG Servers primarily focus on retrieving contextual information from unstructured data or knowledge bases to augment an AI's understanding, rather than direct database operations.
- The selection between the two depends on whether the AI needs static context retrieval (RAG) or dynamic, real-time data access and manipulation in databases (MCP).