How do you handle context length limitations in long-document tasks?medium
Answer
(1) Chunking + RAG — retrieve only relevant chunks. (2) Sliding window — overlapping windows, merge results.
Explanation
(1) Chunking + RAG — retrieve only relevant chunks. (2) Sliding window — overlapping windows, merge results. (3) Hierarchical summarization — summarize sections, then summaries. (4) Map-reduce — process chunks in parallel, aggregate. (5) Long-context models (Claude 3.5: 200K tokens). a document extraction pipeline: chunked by clause type with sliding overlap to avoid splitting key fields.
Follow-upCan you give a production example?