Overview
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Learn how to eliminate hallucinations in enterprise RAG systems by implementing intelligent content segmentation strategies in this conference talk from DevConf.IN 2026. Discover why sophisticated retrieval architectures fail when built on naive character-count splitting that destroys semantic coherence, leading to fragmented contract clauses, broken code functions, and severed medical narratives. Explore the critical engineering discipline of semantic-aware content segmentation through live demonstrations comparing naive splitting versus intelligent segmentation approaches, with measurable improvements of 40-60% in retrieval accuracy and significant reductions in hallucination rates. Master production-ready architectural patterns including semantic-aware splitting that preserves document structure and domain logic, streaming pipelines for processing large files exceeding RAM capacity, adaptive optimization through retrieval feedback loops, and multimodal handling across text, code, and structured documents. Access the open-source implementation available on GitHub and PyPI (pip install chunking-strategy) featuring thread-safe parallel processing, comprehensive error handling, and customizable abstractions for domain-specific applications without vendor lock-in.
Syllabus
Why Your RAG System Hallucinates: Fixing the Content Segmentation Problem - DevConf.IN 2026
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DevConf