Better document chunks for more accurate search.
Guides the design and validation of document chunking pipelines with strategy recommendations and retrieval quality checks.
When to use it
Use when building or optimizing retrieval-augmented generation systems, vector search pipelines, or document chunking workflows, including systems with poor retrieval quality.
It changes how the agent implements document chunking pipelines by guiding preprocessing, parameter selection, and validation.
What you provide
Requires Python to run the instructed chunk quality validation commands; no version is specified.
Requires sentence-transformers for the instructed semantic coherence check using all-MiniLM-L6-v2.
Requires NumPy for the instructed check of chunk size mean and standard deviation.
No additional actions listed.