Augmenting RAG Agents with MCP Servers
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Chunking
A full document is usually too long to embed as a single vector — embedding models have token limits, and a single vector for a 200-page document would lose all the fine-grained detail. The solution is chunking: splitting the document into small, overlapping pieces.
Practical MCP with FastMCP & LangChain
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