---
title: "Reasoning Graphs: Self-Learning Deterministic RAG | Webinar | SurrealDB"
url: https://surrealdb.com/events/reasoning-graphs-self-learning-deterministic-rag
---

Loading webinar...

Thursday, May 7 at 6:00 PM GMT+1

Webinar

# Reasoning Graphs: Self-Learning Deterministic RAG

Share

## About this webinar

Language model agents reason from scratch on every query, then discard everything they learned. Same question, different answer, no improvement over time.

Reasoning graphs change this by persisting each chain of thought as structured edges tied to the evidence items they evaluated. On the next run, the system surfaces how each piece of evidence has been judged before, giving the model a memory that compounds with use. A companion retrieval graph tightens candidate selection over successive runs, and together both structures form a self-learning feedback loop. No retraining required.

In this session, Matthew Penaroza walks through the architecture, the results (half the errors, 11-point accuracy gain on hard questions, perfect consistency, 47% lower cost, 46% lower latency), and how to apply reasoning graphs to your own RAG pipelines.

Based on the paper: [https://arxiv.org/abs/2604.07595(https://arxiv.org/abs/2604.07595)](https://arxiv.org/abs/2604.07595?utm_source=luma)

Speakers

![Matthew Penaroza](https://cdn.surrealdb.com/r5o0zz33e58q028xmdax4xx9.auto)

Matthew Penaroza

Head of Solution Architecture at SurrealDB

```json
{"@context":"https://schema.org","@type":"Event","name":"Reasoning Graphs: Self-Learning Deterministic RAG","description":"","startDate":"2026-05-07T17:00:00.000Z","endDate":"2026-05-07T18:00:00.000Z","image":"https://cdn.surrealdb.com/ghtznibwj5g8cdmx9mh9lm5z.auto","url":"https://surrealdb.com/events/reasoning-graphs-self-learning-deterministic-rag","eventStatus":"https://schema.org/EventScheduled","eventAttendanceMode":"https://schema.org/OnlineEventAttendanceMode","location":{"@type":"VirtualLocation","url":"https://surrealdb.com/events/reasoning-graphs-self-learning-deterministic-rag"},"organizer":{"@type":"Organization","name":"SurrealDB","url":"https://surrealdb.com","logo":{"@type":"ImageObject","url":"https://surrealdb.com/assets/static/logo.BG7_TG2b.svg"}},"performer":[{"@type":"Person","name":"Matthew Penaroza","jobTitle":"Head of Solution Architecture","worksFor":{"@type":"Organization","name":"SurrealDB"}}]}
```

```json
{"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://surrealdb.com"},{"@type":"ListItem","position":2,"name":"Events","item":"https://surrealdb.com/events"},{"@type":"ListItem","position":3,"name":"Reasoning Graphs: Self-Learning Deterministic RAG","item":"https://surrealdb.com/events/reasoning-graphs-self-learning-deterministic-rag"}]}
```

```json
{"@context":"https://schema.org","@type":"Organization","name":"SurrealDB","url":"https://surrealdb.com","logo":"https://surrealdb.com/assets/static/logo.BG7_TG2b.svg","description":"SurrealDB is the unified data layer for AI. A multi-model database for documents, graphs, vectors, and time-series.","foundingDate":"2022","hasCertification":[{"@type":"Certification","name":"SOC 2 Type 2"},{"@type":"Certification","name":"GDPR"},{"@type":"Certification","name":"Cyber Essentials Plus"},{"@type":"Certification","name":"ISO 27001"}],"owns":[{"@type":"SoftwareApplication","name":"SurrealDB","url":"https://surrealdb.com/surrealdb"},{"@type":"SoftwareApplication","name":"Agent Memory","url":"https://surrealdb.com/agent-memory"}],"knowsAbout":["multi-model databases","document databases","graph databases","vector search","time-series databases","SurrealQL","Agent Memory","real-time databases","embedded databases","context layer","graph ontology","distributed database","knowledge graphs","distributed transaction protocols","highly-scalable databases"],"sameAs":["https://www.wikidata.org/wiki/Q124316308","https://github.com/surrealdb/surrealdb","https://twitter.com/surrealdb","https://www.youtube.com/@surrealdb","https://www.linkedin.com/company/surrealdb","https://discord.gg/surrealdb","https://www.reddit.com/r/surrealdb","https://www.instagram.com/surrealdb","https://medium.com/surrealdb","https://dev.to/surrealdb"]}
```