--- title: Graph used right & built fast: Neo4j at HackwithBay 3.0 description: A recap of HackwithBay 3.0, a hackathon held at the AWS Builder Loft in San Francisco where Neo4j was a required tool. Three winning teams built graph-backed... canonical: https://daily.dev/posts/graph-used-right-built-fast-neo4j-at-hackwithbay-3-0-zb1wg0puz twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Graph used right & built fast: Neo4j at HackwithBay 3.0 | daily.dev og:description: A recap of HackwithBay 3.0, a hackathon held at the AWS Builder Loft in San Francisco where Neo4j was a required tool. Three winning teams built graph-backed... og:url: https://daily.dev/posts/graph-used-right-built-fast-neo4j-at-hackwithbay-3-0-zb1wg0puz og:image: https://api.daily.dev/og/posts/zb1Wg0pUZ.png og:image:alt: Graph used right & built fast: Neo4j at HackwithBay 3.0 og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Graph used right & built fast: Neo4j at HackwithBay 3.0 **[neo4j](https://daily.dev/sources/neo4j)** · 9 min read · 2 upvotes · 0 comments ## Summary A recap of HackwithBay 3.0, a hackathon held at the AWS Builder Loft in San Francisco where Neo4j was a required tool. Three winning teams built graph-backed AI agent applications in under five hours: VeriGraph (a scientific paper evidence engine using Neo4j to store verifiable VALIDATES/REFUTES verdicts), Constructor (an autonomous semiconductor research assistant treating the graph as an append-only ledger), and The Ultra Super Social Passport (a party icebreaker using community detection and graph traversal to match guests). The post highlights how each team used Neo4j Aura meaningfully — as a typed, constrained source of truth for autonomous agents — and covers three different access patterns: the Bolt driver, the HTTP Query API v2, and RocketRide's built-in Neo4j pipeline component. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What are the different ways to connect to Neo4j Aura depending on runtime environment? Three access patterns exist for the same Aura instance: the Bolt driver (neo4j+s://, routing-aware) for real server processes like Python FastAPI or Node backends; the HTTP Query API v2 (POST /db//query/v2 with Basic auth and a JSON statement/parameters body) for edge or serverless runtimes where Bolt's native dependencies can't load; and RocketRide's built-in db_neo4j provider, a pipeline component wired directly into an agent as a natural-language-to-Cypher tool. _Developers wiring agents to graph databases across different runtimes can track patterns like these on daily.dev._ ### How can I stop an AI agent from writing incorrect data into a Neo4j graph? Restrict the agent to read-only access and route all writes through deterministic code instead. In one hackathon project, the agent queried Neo4j via natural-language-to-Cypher but never wrote to the database; only deterministic Python scripts wrote verdicts, computed from measured metrics against explicit thresholds, so the agent could not write an unverified result. RocketRide's db_neo4j component was also configured with allow_execute: false for the same reason. _Anyone building agent-safe graph writes can follow patterns like these on daily.dev._ ## Similar posts on daily.dev - [The AI application your team can actually stand behind](https://daily.dev/posts/the-ai-application-your-team-can-actually-stand-behind-2g5icvgb1) · neo4j · 1 upvotes · 0 comments - [How to create AI agents with Neo4j Aura Agent](https://daily.dev/posts/how-to-create-ai-agents-with-neo4j-aura-agent-mc7jpthny) · InfoWorld · 1 upvotes · 0 comments - [I Built a Tiny AI Agent just for fun](https://daily.dev/posts/i-built-a-tiny-ai-agent-just-for-fun-ujqbwwcg1) · neo4j · 68 upvotes · 3 comments - [Graph Databases \+ LLMs: Why Connected Data Makes AI Smarter • Arango](https://daily.dev/posts/graph-databases-llms-why-connected-data-makes-ai-smarter-arango-gosgr4cvj) · ArangoDB · 1 upvotes · 0 comments --- Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#architecture](https://daily.dev/tags/architecture), [#neo4j](https://daily.dev/tags/neo4j) [View this post on daily.dev](https://daily.dev/posts/graph-used-right-built-fast-neo4j-at-hackwithbay-3-0-zb1wg0puz) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Graph used right & built fast: Neo4j at HackwithBay 3.0","url":"https://daily.dev/posts/graph-used-right-built-fast-neo4j-at-hackwithbay-3-0-zb1wg0puz","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/graph-used-right-built-fast-neo4j-at-hackwithbay-3-0-zb1wg0puz"},"datePublished":"2026-07-11T00:59:55.712Z","dateModified":"2026-09-14T08:01:41.327Z","description":"A recap of HackwithBay 3.0, a hackathon held at the AWS Builder Loft in San Francisco where Neo4j was a required tool. Three winning teams built graph-backed...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/e43c28d5a98d29e984dbe85f3b34dd41?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/e43c28d5a98d29e984dbe85f3b34dd41?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"neo4j","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"neo4j","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/a8f15865d92d4c789a415f316dcb81d2","url":"https://daily.dev/sources/neo4j"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/graph-used-right-built-fast-neo4j-at-hackwithbay-3-0-zb1wg0puz","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":2},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"ai-agents,architecture,neo4j","timeRequired":"PT9M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"neo4j","item":"https://daily.dev/sources/neo4j"},{"@type":"ListItem","position":3,"name":"Graph used right & built fast: Neo4j at HackwithBay 3.0"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/graph-used-right-built-fast-neo4j-at-hackwithbay-3-0-zb1wg0puz#faq","mainEntity":[{"@type":"Question","name":"What are the different ways to connect to Neo4j Aura depending on runtime environment?","acceptedAnswer":{"@type":"Answer","text":"Three access patterns exist for the same Aura instance: the Bolt driver (neo4j+s://, routing-aware) for real server processes like Python FastAPI or Node backends; the HTTP Query API v2 (POST /db//query/v2 with Basic auth and a JSON statement/parameters body) for edge or serverless runtimes where Bolt's native dependencies can't load; and RocketRide's built-in db_neo4j provider, a pipeline component wired directly into an agent as a natural-language-to-Cypher tool. Developers wiring agents to graph databases across different runtimes can track patterns like these on daily.dev."}},{"@type":"Question","name":"How can I stop an AI agent from writing incorrect data into a Neo4j graph?","acceptedAnswer":{"@type":"Answer","text":"Restrict the agent to read-only access and route all writes through deterministic code instead. In one hackathon project, the agent queried Neo4j via natural-language-to-Cypher but never wrote to the database; only deterministic Python scripts wrote verdicts, computed from measured metrics against explicit thresholds, so the agent could not write an unverified result. RocketRide's db_neo4j component was also configured with allow_execute: false for the same reason. Anyone building agent-safe graph writes can follow patterns like these on daily.dev."}}]} ```