h2oai/enterprise-h2ogpte

Client Code Examples, Use Cases and Benchmarks for Enterprise h2oGPTe RAG-Based GenAI Platform

37
/ 100
Emerging

Demonstrates retrieval-augmented generation (RAG) patterns for production AI applications, including document ingestion pipelines, semantic search optimization, and multi-document reasoning workflows. Provides benchmarks across different embedding models and LLM configurations to measure latency, throughput, and accuracy tradeoffs in enterprise deployments. Integrates with h2oGPTe's API and showcases integration patterns with vector databases, document stores, and enterprise data sources.

No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 10 / 25

How are scores calculated?

Stars

91

Forks

7

Language

Python

License

Apache-2.0

Last pushed

Sep 09, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/rag/h2oai/enterprise-h2ogpte"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.