Beyond Vector Search: Building a Deterministic 3-Tiered G...

What’s Happening

Okay so a href=” Beyond Vector Search: Building a Deterministic 3-Tiered Graph-RAG System By Matthew Mayo on in Language Models 0 Post In this article, you will learn how to build a deterministic, multi-tier retrieval-augmented generation system using knowledge graphs and vector databases.

Topics we will cover include: Designing a three-tier retrieval hierarchy for factual accuracy. Implementing a lightweight knowledge graph. (let that sink in)

Using prompt-enforced rules to resolve retrieval conflicts deterministically.

The Details

Beyond Vector Search: Building a Deterministic 3-Tiered Graph-RAG System Image by Editor Introduction: The Limits of Vector RAG Vector databases have long since become the cornerstone of modern retrieval augmented generation (RAG) pipelines, excelling at retrieving long-form text based on semantic similarity. But, vector databases are notoriously lossy when it comes to atomic facts, numbers, and strict entity relationships.

A standard vector RAG system might easily confuse which team a basketball player rn plays for, for example, simply because multiple teams appear near the players name in latent space. To solve this, we need a multi-index, federated architecture .

Why This Matters

In this tutorial, we will introduce such an architecture, using a quad store backend to implement a knowledge graph for atomic facts, backed by a vector database for long-tail, fuzzy context. But here is the twist: instead of relying on complex algorithmic routing to pick the right database, we will query all databases, dump the results into the context window, and use prompt-enforced fusion rules to force the language model (LM) to deterministically resolve conflicts. The goal is to attempt to eliminate relationship hallucinations and build absolute deterministic predictability where it matters most: atomic facts.

As AI capabilities expand, we’re seeing more announcements like this reshape the industry.

The Bottom Line

The goal is to attempt to eliminate relationship hallucinations and build absolute deterministic predictability where it matters most: atomic facts.

Are you here for this or nah?