March 31, 2024Open Access

Observations on Building RAG Systems for Technical Documents

SSSumit SomanEricsson (Sweden)SRSujoy RoychowdhuryEricsson (Sweden)

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Resumen

Retrieval augmented generation (RAG) for technical documents creates challenges as embeddings do not often capture domain information. We review prior art for important factors affecting RAG and perform experiments to highlight best practices and potential challenges to build RAG systems for technical documents.

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Cite This Study

Soman et al. (Sun,) studied this question.

synapsesocial.com/papers/68e718f1b6db6435876924a7 https://doi.org/https://doi.org/10.48550/arxiv.2404.00657

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1TechDocRAG: Relation-Preserving Retrieval-Augmented Generation (RAG) for Technical Documents2026 · 1 citations
2Seven Failure Points When Engineering a Retrieval Augmented Generation System2024 · 115 citations
3Review of Retrieval-Augmented Generation (RAG) System Architecture, Limitations, and Practical Challenges2026
4Understanding the Fundamental Design Decisions of Retrieval-Augmented Generation Systems2026
5RAGGED: Towards Informed Design of Scalable and Stable RAG Systems2024

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