Often, the knowledge bases over which we develop an LLM-based retrieval application contain a lot of data in various formats. To provide the LLM with the most relevant context to answer the question specific to a section within the knowledge base, we rely on chunking the text within the knowledge base and keeping it handy.

Chunking

Chunking is the process of slicing text into meaningful units to improve information retrieval. By ensuring each chunk represents a focused thought or idea, chunking assists in maintaining the contextual integrity of the content.