Explore how to build a Personal Knowledge Vault using Neo4j's GraphRAG pattern. Discover how to transform website URLs into structured graph documents, enabling advanced Retrieval Augmented Generation (RAG). This session will demonstrate the integration of Neo4j, FASTapi, Celery, and RabbitMQ to create an efficient, scalable knowledge management system.
Guest: Mike Morley
Github Repo: https://github.com/clockworknowledge/menome_processor
Mike on Medium: https://clockworknowledge.medium.com/
Mike Morley on LinkedIn: https://www.linkedin.com/in/mikemorley/
0:00 - Introduction and Greetings
1:00 - Overview of Personal Knowledge Vault
1:53 - Mike Murly Introduction and Role
3:33 - Challenges in Managing Complex Data
5:56 - Schema Flexibility in Neo4j
7:29 - Demo Introduction and Community Interaction
13:04 - Combining LLMs and Graph Databases
17:23 - Capturing and Processing Documents
23:42 - Using Celery for Background Processing
30:42 - Demonstration of AI-Powered Data Entry
57:13 - Future Development and Enhancements
59:02 - Community Questions and Closing Remarks
1:03:17 - Additional Resources and Upcoming Events
#neo4j #graphdatabase #graphrag #rag #genai #llm #knowledgegraph #knowledge