> Markdown version of [/playlists/knowledge-graphs](https://www.wearedevelopers.com/playlists/knowledge-graphs). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Playlist: Knowledge graphs 18 videos · 26 moments · 69.9 minutes ## Large Language Models ❤️ Knowledge Graphs - **Structuring enterprise data utilizing knowledge graph databases** (06:26, 1min) — Viewing large-scale corporate data as interconnected nodes facilitates intuitive querying and effective digital twin modeling. - **Introduction to generative AI and knowledge graphs** (00:02, 1min) — Combining language models with graph databases yields powerful approaches to organizing and processing enterprise data. - **Querying knowledge graphs and vector indexes via Python** (19:11, 5min) — Orchestrating operations via scripting integrates database drivers and models for explicit user query resolution. [Learn more](https://www.wearedevelopers.com/videos/1154-large-language-models-knowledge-graphs) ## The R in RAG: Why retrieval is often the weakest link (and how to fix it) - **Using advanced retrieval methods like graph rag and raptor** (06:17, 3min) — Knowledge graphs map entity relationships and hierarchical clustering abstracts large documents for complex multi-hop reasoning. [Learn more](https://www.wearedevelopers.com/videos/100005-the-r-in-rag-why-retrieval-is-often-the-weakest-link-and-how-to-fix-it) ## Scaling GraphRAG: Efficient Knowledge Retrieval for AI - **Structuring unstructured domain data into a queryable knowledge graph** (05:53, 2min) — Knowledge graphs organize textual facts by directly binding relevant entities together via structured directional relationships. - **Transforming code repositories into interactive architecture knowledge graphs** (16:56, 1min) — Translating software bases into interconnected modules allows engineering teams to trace inheritance dependencies seamlessly inside typical develop... [Learn more](https://www.wearedevelopers.com/videos/100025-scaling-graphrag-efficient-knowledge-retrieval-for-ai) ## Give Your LLMs a Left Brain - **Combining knowledge graphs with LLMs for reliability** (14:45, 4min) — Integrating knowledge graphs provides explicit domain understanding and deterministic answers that pure vector databases and language models lack. - **Architecting a hybrid vector and knowledge graph system** (21:31, 1min) — Routing user queries through both knowledge graphs and vector databases enables context enrichment and continuous algorithmic fine-tuning. [Learn more](https://www.wearedevelopers.com/videos/1160-give-your-llms-a-left-brain) ## Context Graphs for Explainable, Decision-Aware AI Agents - **Unlocking generative AI capabilities using knowledge graphs** (00:02, 2min) — Knowledge graphs provide foundational context and precise tooling to enhance the capabilities of large language models. [Learn more](https://www.wearedevelopers.com/videos/100318-context-graphs-for-explainable-decision-aware-ai-agents) ## Knowledge graph based chatbot - **Representing structured domain data within knowledge graphs** (07:48, 1min) — Mapping complex application domains into interconnected nodes and lines provides an architecture built for explicit logical querying. - **Extracting and querying domain specific knowledge graphs** (13:55, 4min) — Structuring raw documents during initial data ingestion creates scalable property graphs supporting complex hardware or system architectures. - **Demonstrating a knowledge graph powered chatbot interface** (18:22, 4min) — A customized client engine executes backend Cypher lookups to map relationships and summarize internal engineering news. [Learn more](https://www.wearedevelopers.com/videos/754-knowledge-graph-based-chatbot) ## Martin O'Hanlon - Make LLMs make sense with GraphRAG - **Integrating knowledge graphs to provide verified application context** (17:48, 5min) — Mapping unstructured enterprise information into explicit factual networks empowers language applications to correctly evaluate nuanced logical con... [Learn more](https://www.wearedevelopers.com/videos/1323-martin-o-hanlon-make-llms-make-sense-with-graphrag) ## Build RAG from Scratch - **Advancing semantic boundaries with colbert and knowledge graphs** (26:04, 1min) — Incorporating token-level evaluation logic, knowledge graphs, and dedicated related-content engines significantly deepens modern system retrieval c... [Learn more](https://www.wearedevelopers.com/videos/1115-build-rag-from-scratch) ## New AI-Centric SDLC: Rethinking Software Development with Knowledge Graphs - **Building a centralized knowledge graph for corporate codebases** (08:47, 3min) — A centralized knowledge graph parses interconnections to pinpoint specific code dependencies across hundreds of legacy repositories. - **Orchestrating AI agents with a knowledge graph of thought** (11:55, 3min) — An orchestration platform feeds relevant context to specialized agents while recording all actions into an auditable graph. [Learn more](https://www.wearedevelopers.com/videos/1417-new-ai-centric-sdlc-rethinking-software-development-with-knowledge-graphs) ## Stop Guessing, Start Measuring: Evaluating RAG Systems with Synthetic Test Data - **Defining varied query types via knowledge graph topologies** (10:34, 1min) — Distinguishing between multi-hop and single-hop abstraction ensures evaluation regimes effectively challenge complex chunk retrieval mechanics. [Learn more](https://www.wearedevelopers.com/videos/1982-stop-guessing-start-measuring-evaluating-rag-systems-with-synthetic-test-data) ## Agentic employees in world's most downloaded FinTech app - **Ingesting historical data for automated knowledge graph generation** (18:52, 1min) — Scanning repositories, conversational history, and documentation during initial onboarding to natively build specialized routing instructions. [Learn more](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) ## Hybrid AI: Next Generation Natural Language Processing - **Applying hybrid AI to knowledge graphs and safety controls** (15:54, 2min) — Visualizing deep learning outputs with manual corrections bridges rule-based safety procedures for hardware applications. - **Advantages of classical NLP and keyword search methods** (08:33, 1min) — Traditional knowledge graphs and search algorithms provide computational efficiency globally without extensive training data. [Learn more](https://www.wearedevelopers.com/videos/436-hybrid-ai-next-generation-natural-language-processing) ## Developers become Orchestrators: From Human-in-the-Loop to Spec-in-the-Loop - **Enhancing agent repository context using engineering knowledge graphs** (26:40, 3min) — Combining code search indices with platform engineering databases provides agents with the required context to navigate complex organizational stru... [Learn more](https://www.wearedevelopers.com/videos/100035-developers-become-orchestrators-from-human-in-the-loop-to-spec-in-the-loop) ## Composable Intelligence: How Henkel and Microsoft Are Shaping the Agent Ecosystem - **Overcoming data complexity and context retrieval formatting challenges** (17:02, 1min) — Using knowledge graphs and memory to bridge structured relational databases with unstructured data for nuanced, context-aware prompt generation. [Learn more](https://www.wearedevelopers.com/videos/1538-composable-intelligence-how-henkel-and-microsoft-are-shaping-the-agent-ecosystem) ## The Golden Age of Email: Owning the Inbox in the Age of AI - **Transforming unstructured email data into customized user knowledge graphs** (04:59, 2min) — How deploying background AI agents replaces manual labeling with automated contextual understanding of user information. [Learn more](https://www.wearedevelopers.com/videos/100128-the-golden-age-of-email-owning-the-inbox-in-the-age-of-ai) ## Official Opening of WeAreDevelopers World Congress 2026 - **Extracting insights with an AI developer knowledge graph** (08:49, 2min) — Leveraging an AI-driven knowledge graph over recorded content enables developers to instantly locate precise technical insights. [Learn more](https://www.wearedevelopers.com/videos/100000-official-opening-of-wearedevelopers-world-congress-2026) ## Your Enterprise RAG Has No Legal Basis - **Enforcing quality standards using context and subagents** (05:30, 2min) — Knowledge graphs provide context to the agent to enforce production standards and fulfill custom quality gates. [Learn more](https://www.wearedevelopers.com/videos/100344-your-enterprise-rag-has-no-legal-basis) ## The New AI Security Stack: Observe, Detect, Protect - **Constructing safety architectures for agents integrating with knowledge graphs** (08:57, 2min) — A six-layer safety framework combined with contextual understanding safeguards production systems from rogue agent actions. [Learn more](https://www.wearedevelopers.com/videos/100302-the-new-ai-security-stack-observe-detect-protect)