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In LlamaIndex, if you're noticing repeated text in chunks, it might be due to the way text is split into chunks. LlamaIndex uses a
TokenTextSplitter
to split text into chunks. If a chunk is too large to fit within the context window, it is split using a
TokenTextSplitter
, allowing some text overlap between chunks. This is done to ensure that no information is lost during the splitting process.
If you're using response modes like
refine
,
compact
, or
tree_summarize
, the text chunks are processed in a way that might result in some overlap. For example, in
refine
mode, the answer and the next chunk (as well as the original question) are used in another query with the
refine_template
prompt, which might result in some repetition.
If the repetition is causing issues, you might want to consider using a different response mode. For example,
simple_summarize
mode truncates all text chunks to fit into a single LLM prompt, which might reduce repetition but could also lose some detail due to truncation.
Here's a brief overview of the response modes:
refine
: Creates and refines an answer by sequentially going through each retrieved text chunk. This makes a separate LLM call per Node/retrieved chunk.compact
: Similar to refine
but compacts (concatenates) the chunks beforehand, resulting in fewer LLM calls.tree_summarize
: Queries the LLM using the summary_template
prompt as many times as needed so that all concatenated chunks have been queried.simple_summarize
: Truncates all text chunks to fit into a single LLM prompt. Good for quick summarization purposes, but may lose detail due to truncation.