Zion RAG Foundry

Build, evaluate and ship enterprise RAG pipelines

Retrieval quality makes or breaks enterprise AI. Zion RAG Foundry lets you connect data sources, benchmark chunking and embedding strategies, evaluate answer faithfulness, and deploy production RAG APIs - all with measurable quality scores.

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Key features

One-click connectors for docs, wikis, tickets, and databases
Benchmark harness for chunking, embedding, and reranking strategies
Faithfulness and groundedness evaluation on golden datasets
Hybrid search: vector, keyword, and knowledge graph
Managed RAG APIs with versioning and rollback

Who it is for

Enterprises building AI assistants on internal data
Teams replacing keyword search with semantic answers
AI engineers tired of guessing retrieval settings

FAQ

What data sources connect?

Notion, Confluence, Google Drive, databases, ticket systems, and raw files.

How is quality measured?

Automated faithfulness, relevance, and groundedness scores on your own test sets.

Cloud or self-hosted?

Managed cloud with a VPC/on-prem deployment option.

Part of the Zion app network

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