Augmenting RAG Agents with MCP Servers
96%
Retrieval-Augmented Generation (RAG)
RAG ties all of the above together into a single pipeline. Instead of asking the LLM to answer from its training data alone, you retrieve relevant context first and augment the prompt with it before the model generates a response.
Practical MCP with FastMCP & LangChain
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