Graph RAG Tutorial for Financial Services
Request an exclusive one-hour tutorial on GraphRAG, designed for financial sector professionals. The session offers personalized guidance to address your unique use cases and challenges.
Graph RAG with GraphDB
Request an exclusive, one-hour tutorial session tailored for financial sector professionals. Led by our FIS expert, Peio Popov, this workshop provides a unique opportunity to explore GraphRAG’s capabilities with GraphDB.
What to Expect:
Understand how GraphRAG enhances GraphDB and discuss applications relevant to your industry.
Participate in a live demo of GraphRAG and GraphDB integration.
Share your specific challenges and receive tailored recommendations.
Details:
Free of charge
To schedule your session, please complete the form with your use case details and preferred timing. For additional inquiries, contact us via email.
What You’ll Learn
In this tutorial, you will learn to integrate vector embeddings with GraphDB for enhanced information retrieval and natural language querying. Learn to set up GraphDB connectors for synchronization with external engines like Lucene, Solr, Elasticsearch, and vector databases such as Weviate and PineCone. You’ll also use GraphDB’s “Talk to your graph” feature for interactive querying, explore query types suited for semantic, full-text, and vector indices, and discuss results ranking, fusion approaches, and integration with Langchain.
The tutorial will help you acquire the knowledge needed to utilize Graph RAG to address key challenges in your organization.
Graph RAG Tutorial for Financial Services agenda
Introduction and Setup (20 minutes)
- Overview of vector embeddings and GraphDB’s capabilities
- Setting up vector and full-text connectors to your knowledge graph
Hands-On Querying (20 minutes)
- Live demonstration of semantic, full-text, and vector queries
- Utilizing GraphDB’s “Talk to your graph” feature with ChatGPT
Results Ranking and Integration (15 minutes)
- Discussion on results ranking and fusion approaches
- Integration with Langchain and natural language querying
Q&A and Use Case Discussion (15 minutes)
- Open floor for questions
- Discussion on participants’ specific use cases and challenges
Training Instructor
Peio Popov
Peio Popov leads the Financial Services vertical in Ontotext. In this role, Peio oversees the applicable use-cases, analyses the requirements and maps them to the product and solution capabilities of Ontotext
Graph RAG Tutorial Registration Form