Passage identity
Check whether every result has a stable identifier and can be retrieved again after the index changes.
Architecture comparison · Christian AI
Compare Feason Context with a generic retrieval-augmented generation pipeline for Christian AI: corpus work, provenance, tradition coverage, citation verification, and operational responsibility.
Short answer
Comparison
| Approach | Best for | Provides | Your responsibility |
|---|---|---|---|
| Feason Context | Teams that need Christian evidence through REST or MCP without operating the corpus. | Versioned passages, provenance, tradition attribution, coverage boundaries, evidence packets, and exact citation verification. | Model behavior, user experience, final conclusions, pastoral safeguards, and application-specific evaluation. |
| Managed generic RAG | Teams with their own documents that want hosted ingestion, embeddings, retrieval, and scaling. | General document processing and retrieval infrastructure, often with configurable chunking and ranking. | Source rights, theological taxonomy, edition integrity, disputed-view handling, citation semantics, and domain evaluation. |
| Custom RAG pipeline | Research or product teams that require complete control of corpus, ranking, hosting, and release policy. | Maximum architectural control and the ability to encode a proprietary method. | The full ingestion, editorial, retrieval, security, evaluation, governance, and operations lifecycle. |
Evaluation criteria
Check whether every result has a stable identifier and can be retrieved again after the index changes.
Require source title, author, edition or translation, license, canonical reference, and a resolvable provenance path.
Test whether a system distinguishes attributed positions, shared claims, disagreement, and missing corpus coverage.
A failed retrieval must not silently become proof that a source or tradition has no teaching on the subject.
Ask whether an exact quotation can be compared with an immutable source snapshot rather than trusted from generated prose.
Inspect retrieval recall, citation integrity, latency, failure behavior, and the process used to approve corpus changes.
Implementation
Use questions that require Scripture, a primary historical source, a disputed tradition claim, and an explicitly missing source.
Score passage relevance, provenance completeness, tradition attribution, caveats, and whether the same citation resolves twice.
Remove a requested tradition or ask for an unsupported quotation. Prefer systems that disclose the gap instead of filling it from model memory.
Estimate who maintains licenses, snapshots, embeddings, evaluation sets, access control, incident response, and release review.
Questions
No. Feason returns source-grounded evidence, citations, coverage, and caveats. The calling application chooses its model, prompt, interface, pastoral boundaries, and final wording.
A team can build a theology retrieval system with general infrastructure. It must still acquire and license sources, preserve editions and provenance, model traditions and disputed claims, evaluate retrieval, verify citations, and operate the index.
A custom pipeline is appropriate when a team needs full control of a proprietary corpus, ranking logic, hosting boundary, or research method and can sustain the editorial and operational work.
No. Feason attributes disputed positions to sources and traditions, reports missing coverage, and returns evidence rather than a platform-wide theological verdict.
Feason Context · Source-grounded Christian evidence