Phase 5 of Parent epic: #863
Summary
Prepare the GraphRAG engine for maintainer review and final acceptance. Consolidate the implementation from Phases before, close integration gaps, document supported usage and limitations, and verify that a fresh contributor can run the service, invoke the REST API, and reproduce the benchmark artifacts.
Motivation
An implementation is not complete when the code works only in the author's environment. The final phase must make behavior discoverable, preserve compatibility with existing geaflow-ai APIs, and provide an auditable acceptance package for the GeaFlow community.
Scope
- Run the complete Java unit, integration, HTTP contract, and legacy
/query/* regression suites.
- Run the end-to-end ingestion, index build, retrieval, evaluation, and benchmark smoke commands from a clean checkout and verified local cache.
- Fix release-blocking defects, flaky tests, nondeterministic ordering, resource leaks, and unclear error messages discovered during maintainer review.
- Publish API documentation for
POST /api/v1/retrievals, /health, /ready, request IDs, version selection, budgets, response fields, error codes, and degradation behavior.
- Add runnable
curl and/or Java examples showing graph preparation and an upper-layer retrieval call, including successful, empty, and typed-error responses.
- Document configuration defaults, hard limits, supported retrieval/execution modes, dataset licenses, cache/artifact requirements, known limitations, and operational responsibilities of the deployment gateway.
- Assemble the final experiment report with methodology, raw artifact locations, reproducibility commands, ablations, negative results, and applicability boundaries.
- Verify Java compatibility, dependency/license notices, formatting, and repository contribution conventions before delivery on 2026-11-10.
Suggested implementation locations
geaflow-ai/src/test/ - final unit, integration, HTTP, and compatibility coverage.
examples/graphrag/ or the repository-approved examples location - runnable service/client examples.
docs/ - API, configuration, ingestion, evaluation, and troubleshooting documentation.
tools/graphrag/ - reproduction scripts and validation commands.
Testing and review checklist
- Unit, integration, HTTP contract, and end-to-end smoke tests.
- Backward-compatibility check for
/query/context, /query/exec, and /query/result.
- Reproducibility check using the published manifests, seeds, and commands.
- Resource and timeout checks for the service and retrieval executors.
- Documentation link, command, JSON schema, and license review.
Phase 5 of Parent epic: #863
Summary
Prepare the GraphRAG engine for maintainer review and final acceptance. Consolidate the implementation from Phases before, close integration gaps, document supported usage and limitations, and verify that a fresh contributor can run the service, invoke the REST API, and reproduce the benchmark artifacts.
Motivation
An implementation is not complete when the code works only in the author's environment. The final phase must make behavior discoverable, preserve compatibility with existing
geaflow-aiAPIs, and provide an auditable acceptance package for the GeaFlow community.Scope
/query/*regression suites.POST /api/v1/retrievals,/health,/ready, request IDs, version selection, budgets, response fields, error codes, and degradation behavior.curland/or Java examples showing graph preparation and an upper-layer retrieval call, including successful, empty, and typed-error responses.Suggested implementation locations
geaflow-ai/src/test/- final unit, integration, HTTP, and compatibility coverage.examples/graphrag/or the repository-approved examples location - runnable service/client examples.docs/- API, configuration, ingestion, evaluation, and troubleshooting documentation.tools/graphrag/- reproduction scripts and validation commands.Testing and review checklist
/query/context,/query/exec, and/query/result.