Craig Walls

Software Engineer · Author · Speaker · Spring AI Explorer

Exploring Spring AI, intelligent applications, and modern Spring development.

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Focused on practical, real-world agentic systems with Spring AI.

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Semantic Caching with Any Vector Store

Semantic caching can use any vector store. If you're already using a vector store such as Qdrant, you can use it to speed up semantically similar requests and reduce token usage without adding another database to your stack.

foundations

NEW

Semantic Caching (with Redis)

Traditional caches only work when users ask the exact same question twice. Semantic caching goes a step further, recognizing when two differently worded questions mean the same thing and serving a cached answer without ever calling the LLM again.

foundations

NEW

Controlling MCP Tool Visibility

A well-stocked toolbox is useful. That is, until you have to dig through dozens of tools to find the one you need. The same is true for MCP servers, where exposing fewer tools can often make an AI application faster, cheaper, and more focused.

mcp tools

Latest Updates

Jun 08 Semantic Caching with Any Vector Store
Jun 05 Semantic Caching (with Redis)
Jun 03 Controlling MCP Tool Visibility
Jun 01 MCP Tool Progress

New ideas, recipes, and experiments as I build with Spring AI.

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$ spring init agent
> Building...
> Adding tools
> Done.

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Craig Walls

Featured Spring AI Recipes

Semantic Caching with Any Vector Store

Semantic Caching (with Redis)

Controlling MCP Tool Visibility

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