๐๐ ๐๐ฃ๐ ๐ง๐ถ๐บ๐ฒ๐ผ๐๐๐ ๐๐ป๐ฑ ๐๐๐๐ป๐ฐ ๐๐ต๐๐ป๐ธ๐ถ๐ป๐ด
I tried to build a document summarizer last weekend. I sent a 50 page PDF to an AI API. It timed out every time.
My documents had 15,000 tokens. The API limit was 4,000. Sending everything caused a 504 error.
I tried a few things first.
- Cutting the text. I lost the middle and end.
- Sequential chunks. It took too long. One error broke the whole chain.
Then I found a better way.
- Split text by paragraphs.
- Use asyncio and aiohttp for parallel requests.
- Use a semaphore to avoid rate limits.
- Merge the summaries at the end.
This way works. It has trade-offs.
- Context loss. You lose links between chunks.
- Token counting. Character counts are not exact.
- Cost. You pay for extra merge requests.
For better results, try these steps.
- Use a token library like tiktoken.
- Add retry logic.
- Move to a queue system like Redis for scale.
What do you use for large documents?