~/talk

Why Your RAG System Hallucinates: Fixing the Content Segmentation Problem

Talkat DevConf.IN 2026 · on Saturday, 2026-02-14· at 15:05· VYAS - 1 - Room#VY104· [ai-assisted-development, machine-learning]
slides:none on file

Argument: naive character-splitting breaks semantic units and causes RAG hallucinations, while semantic-aware segmentation yields concrete gains. The open-source package chunking-strategy (pip install chunking-strategy, GitHub/PyPI) implements 40+ format-aware strategies, streaming pipelines that process 100+ GB on a 48 GB laptop, thread-safe parallel processing, and retrieval-feedback loops, producing a measured 40-60% improvement in retrieval accuracy and large reductions in hallucination rates during live demos.

AI-written summary · about

  1. 0:00RAG content segmentation issues
  2. 3:31LLM hallucinations in RAG
  3. 7:01Naive chunking problems
  4. 10:11Smart vs naive chunking demo
  5. 15:45Smart chunking solution
  6. 17:49Library demo and API
  7. 23:48Production features and config
  8. 33:41Advanced chunking strategies
  9. 37:32Smart chunking results
  10. 41:01Key takeaways and install
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