# RAG Chunk Optimization Calculator AI Agent Connect

> Deterministic tool for optimizing RAG chunk size and overlap parameters.

## Overview
- **Category:** optimization
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_BCOG37LiB1ABWSAkOgQDVEIySQTsL8epYI6ml5XJ/ai-agent-connect
- **Tags:** rag, llm, optimization, context-window, tokenization

## Description

This MCP server provides precise mathematical tools to optimize Retrieval-Augmented Generation (RAG) configurations. It helps developers balance context window utilization against retrieval overhead by calculating exact chunk counts, overlap percentages, and optimal sizing. Use `calculate_chunk_metrics` to evaluate specific parameters, `compare_chunk_strategies` to test multiple configurations, or `get_optimization_bounds` to find the mathematical limits of your LLM's context window.

## Tools

### calculate_chunk_metrics
Calculates the structural impact of current chunking parameters

### compare_chunk_strategies
Evaluates how different chunking configurations would perform

### get_optimization_bounds
Determines the mathematical limits of the context window

## Prompt Examples

**Prompt:** 
```
Calculate the metrics for a 10,000 token document with a chunk size of 500, overlap of 50, a 4,000 token context window, and Top-K of 5.
```

**Response:** 
```
The chunk count is 22, the overlap overhead is 11.0%, and the context utilization is 62.5%. The optimal chunk size is 560 and the recommended overlap is 50.
```

**Prompt:** 
```
What are the maximum chunk size limits for a 128,000 token context window with Top-K set to 10?
```

**Response:** 
```
The maximum chunk size is 12,800 tokens, and the safety margin limit is 8,960 tokens.
```

**Prompt:** 
```
Compare two strategies for a 5,000 token document: Strategy A (chunk 400, overlap 40) and Strategy B (chunk 600, overlap 60) with a 4,000 token window and Top-K 5.
```

**Response:** 
```
Strategy A results in a context utilization of 50.0% and 8.8% overhead, while Strategy B results in a context utilization of 75.0% and 10.0% overhead.
```

## Frequently Asked Questions

**How do I know if my RAG configuration is unstable?**
A configuration is flagged as unstable if the context utilization exceeds 90% or if the overlap overhead exceeds 30%.

**What is the purpose of the optimal chunk size calculation?**
The `get_optimization_bounds` tool calculates an optimal size that targets 70% context window utilization, providing a safety margin for system prompts and model responses.

**Can I compare multiple chunking strategies at once?**
Yes, you can use `compare_chunk_strategies` to pass an array of different chunk size and overlap combinations to see how they perform side-by-side.