# Chunk search Chunk search provides us a way to search through parts of a document. For example - you may have a paragraph of text. You can then split up that paragraph of text into sentences and then create a `chunkvector` out of each. You can then search through the chunkvectors to obtain the most relevant part of that paragraph for your needs. Chunkvectors can be useful for improving the explainability of search. If you are interested in testing chunk search out, there are a few endpoints (all with guides written to them and use cases). * [chunk search](/vector-search/searching-with-vector-ai/chunk-search/how-to-chunk-search.md) * [advanced chunk search](/vector-search/searching-with-vector-ai/chunk-search/how-to-do-multivector-chunk-search.md) * [multi step chunk search](/vector-search/searching-with-vector-ai/chunk-search/how-to-do-multi-step-chunk-search.md) --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://learn.getvectorai.com/vector-search/searching-with-vector-ai/chunk-search.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.