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How RAG Improves AI Document Analysis Accuracy

Doc and Tell TeamMarch 10, 20262 min read

How RAG Improves AI Document Analysis Accuracy

When you ask an AI a question about a document, the quality of the answer depends entirely on how the AI finds relevant information. This is where Retrieval-Augmented Generation (RAG) comes in.

What is RAG?

RAG is a technique that combines two steps:

  1. Retrieval: Finding the most relevant passages from your document
  2. Generation: Using those passages to generate an accurate answer

Without RAG, an AI model would try to answer from its general training data — which means it could hallucinate facts that aren't in your document. With RAG, the AI is grounded in your actual content.

Why Single-Stage Retrieval Isn't Enough

Most document AI tools use a single retrieval method: vector similarity search. This works by converting text into numerical representations (embeddings) and finding the closest matches.

The problem? Vector search is great at finding semantically similar content, but it can miss exact keyword matches. If you search for "Section 4.2 termination clause," vector search might return passages about termination that aren't from Section 4.2.

Doc and Tell's Hybrid Approach

Doc and Tell uses a 3-stage hybrid retrieval pipeline:

  1. Vector Search: Finds semantically similar passages using embeddings
  2. BM25 Keyword Search: Finds exact keyword matches that vector search might miss
  3. Reciprocal Rank Fusion (RRF): Combines both result sets into a single, optimized ranking

This hybrid approach consistently outperforms either method alone, especially for technical and legal documents where both meaning and exact terminology matter.

Verifiable Citations

The most important part of RAG isn't just finding the right passages — it's showing you where the answer came from. Every answer in Doc and Tell includes page-level citations that you can click to verify in the original document.

This is critical for compliance workflows where you need to trust — and prove — that the AI's answer is grounded in the actual document text.

Try It Yourself

Upload a document to Doc and Tell and see hybrid RAG in action. Every answer comes with verifiable citations you can click to verify.

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