Onetrace tool tracks RAG pipeline changes to find root causes

A new tool called onetrace aims to solve the problem of non-deterministic behavior in Retrieval-Augmented Generation (RAG) pipelines. When a RAG system's answer changes unexpectedly, it's difficult to pinpoint the cause due to the complex, multi-step nature of these pipelines. Onetrace addresses this by recording detailed receipts at each step, including inputs, outputs, tools used, versions, and settings. These receipts are hash-chained to ensure integrity, allowing for mechanical comparison between runs to identify the exact step and reason for any divergence, even if the underlying LLM remains non-deterministic. AI

IMPACT Provides a deterministic record for debugging non-deterministic RAG pipelines, crucial for reliable AI application development.

RANK_REASON The item describes a new tool for debugging RAG pipelines.

Read on dev.to — LLM tag →

• First Passage to the West
• onetrace
• retrieval-augmented generation
• word-overlap

• infra
• product

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