graphgeeks-lab/odsc-agentic-ai-summit-2025

Code from the ODSC Agentic Graph RAG workshop combining vector, FTS & graph retrieval for RAG. Includes observability and guardrails for evaluating outputs.

30
/ 100
Emerging

This project helps healthcare professionals and researchers working with patient records to extract, organize, and analyze complex medical data more effectively. It takes unstructured patient notes and FHIR records as input, transforming them into a structured knowledge graph and searchable embeddings. The output includes highly organized patient data, insights from hybrid search queries, and detailed evaluations of data extraction and RAG system performance, benefiting those who need to understand relationships and patterns within healthcare datasets.

No commits in the last 6 months.

Use this if you need to build and evaluate a system for extracting structured information from medical notes and querying it efficiently using a combination of graph, vector, and full-text search.

Not ideal if you are looking for a simple keyword search solution or a general-purpose database, as this project focuses specifically on advanced retrieval augmented generation (RAG) with complex data structures.

healthcare-analytics medical-data-extraction patient-record-management knowledge-graph-analysis clinical-research
No License Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 6 / 25
Maturity 7 / 25
Community 15 / 25

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Stars

18

Forks

4

Language

Python

License

—

Category

agentic-rag-systems

Last pushed

Aug 02, 2025

Commits (30d)

0

GitHub
Agentic RAG Systems · 52 tools

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