can langgraph iterate to all relevant chunks of document, and use it all to generating response?

[octadion]

Can a LangGraph agent be used to retrieve each relevant segment/chunk of a document, iterate through them, save each retrieved document, and finally perform a summary? Are there any sources that can be referenced for this?

[hwchase17]

you can likely accomplish this with the new map reduce functionality. https://github.com/langchain-ai/langgraph/blob/main/examples/map-reduce.ipynb

im happy to put together an example - but could you provide a bit more details about what you expect. from what i can tell:

step 1: fetch documents
step 2: for each document in documents, do.... ???
step 3: summarize the results of step 2

but what do you imagine in step 2?

[octadion]

@hwchase17 Thank you for your response! Here's what I'm aiming to achieve:

1. Input a question.
2. Based on that input, retrieve all relevant chunks from a document. Usually, the retrieval process is a one-step operation (retrieve data -> generate), but I'm wondering if it's possible to use an iterative approach where all relevant retrieved data is saved/used as a prompt.
3. The final output should be a summary based on the key points of all relevant retrieved chunks or simply merge them into a specific language using an LLM.