GraphRAG - RAG with Knowledge Graph Tutorial | Vertex AI Agent & Neo4j
Ғылым және технология
Architecture and Tutorial on Retrieval Augmented Generation (RAG) with Knowledge Graph.
Google Vertex AI Agent Builder is used to create an Agent - that orchestrates the RAG flow - by using Gemini as Generation Model (LLM) and Cloud Function to interface with Neo4J Graph Database.
Our use case is to use Natural Language Queries to chat with a Graph Database that has a Flight Graph. So, user may query for available flights between cities/airports.
Github Repo: github.com/architecturebytes/...
#generativeai #aiagents #vertexai #RetrievalAugmentedGeneration #neo4j #graphdatabase
Timelines:
00:04 Use-Case
01:06 Architecture
02:41 Tutorial
06:11 Neo4j Explorer - Graph
07:02 Vertex AI Agent Setup
13:04 Phone Integration
13:35 Demo
Пікірлер: 6
Very crisp with clear details about the system.
@ArchitectureBytes
24 күн бұрын
Thanks!
simply love it ! your videos❤
@AIWALABRO
23 күн бұрын
Rag application deploy on Amazon sagamaker. Can you make the video I have an interview and I want to show case rag application an dthier deployment. The interview holding in next week. Can I get the video till Sunday
Thank you so much this video was very useful and one thing can you make a video on connect local sql database to vertex ai chatapp (chatbot) .
Sir I can make the best thumbnails for your channel. Where can I message you?