Document intelligence · RAG

Text chunking
is not enough.

Pointing a language model at a structured document is not merely a prompting problem: the real problem is retrieval.

A complex document is not a uniform sequence of paragraphs. Tables, footnotes, hierarchies and cross-references carry relationships that are destroyed the moment the text is cut into fixed-length blocks.

Structure is part of the meaning

A figure separated from its heading loses its unit, its period and its context. A robust pipeline therefore has to preserve the logical structure of the document and index content and metadata together.

Domain-driven retrieval

Semantic search has to be combined with deterministic filters, section classification and relationships between entities. The model should not receive the most similar text, but the most relevant and verifiable evidence.

Traceability before fluency

A convincing answer with no source behind it is a weak result. In Analytiko products, every step must be able to take the user back to the document, the section and the original figure.

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