# neo4j-graphrag-python - Doramagic AI Context Pack

> Purpose: pre-work context for the user's host AI. This pack does not prove that the project has been installed, run, or validated.

## Project

- canonical_name: `neo4j/neo4j-graphrag-python`
- capability: Neo4j GraphRAG for Python
- expected_user_outcome: Neo4j GraphRAG for Python

## Operating Boundaries

- Do not claim that the project has been installed, run, called through an API, or used on local files unless separate evidence proves it.
- Project facts must come from repo evidence, Claim Graph, or explicit source references.
- When a capability is not verified, mark it as unverified instead of completing it as fact.
- publish_status: `publishable`
- blocking_gaps: none

---

## Doramagic Context Augmentation

The following sections strengthen the repository context for a host AI. Human Manual data is a reading route, and pitfall notes become operating constraints.

## Human Manual Outline

Usage rule: this is only a reading route and salience signal, not factual authority. Concrete claims must still return to repo evidence or Claim Graph.

Host AI hard rules:
- Do not treat page titles, section order, summaries, or importance values as factual project evidence.
- When explaining the Human Manual outline, state that it is only a reading route or salience signal.
- Capability, installation, compatibility, runtime state, and risk claims must cite repo evidence, source paths, or Claim Graph.

- **Overview, Installation & Configuration**: importance `high`
  - source_paths: README.md, pyproject.toml, src/neo4j_graphrag/__init__.py, src/neo4j_graphrag/indexes.py, src/neo4j_graphrag/types.py
- **Retrievers and Database Search**: importance `high`
  - source_paths: src/neo4j_graphrag/retrievers/base.py, src/neo4j_graphrag/retrievers/vector.py, src/neo4j_graphrag/retrievers/hybrid.py, src/neo4j_graphrag/retrievers/text2cypher.py, src/neo4j_graphrag/retrievers/tools_retriever.py
- **Knowledge Graph Construction Pipeline**: importance `high`
  - source_paths: src/neo4j_graphrag/experimental/pipeline/kg_builder.py, src/neo4j_graphrag/experimental/pipeline/pipeline.py, src/neo4j_graphrag/experimental/pipeline/orchestrator.py, src/neo4j_graphrag/experimental/pipeline/component.py, src/neo4j_graphrag/experimental/pipeline/pipeline_graph.py
- **Generation, LLM Providers, Embeddings & Message History**: importance `high`
  - source_paths: src/neo4j_graphrag/generation/graphrag.py, src/neo4j_graphrag/generation/prompts.py, src/neo4j_graphrag/generation/types.py, src/neo4j_graphrag/llm/base.py, src/neo4j_graphrag/llm/openai_llm.py

## Repo Inspection Evidence

- repo_clone_verified: true
- repo_inspection_verified: true
- repo_commit: `49b2694ad276e1f037cf7c27db3a659ea9c892cb`
- inspected_files: `README.md`, `pyproject.toml`, `uv.lock`, `docs/README.md`, `docs/source/conf.py`, `docs/source/themes/neo4j/static/js/12-fragment-jumper.js`, `examples/README.md`, `examples/build_graph/automatic_schema_extraction/simple_kg_builder_schema_from_pdf.py`, `examples/build_graph/automatic_schema_extraction/simple_kg_builder_schema_from_text.py`, `examples/build_graph/from_config_files/simple_kg_pipeline_config.json`, `examples/build_graph/from_config_files/simple_kg_pipeline_config.yaml`, `examples/build_graph/from_config_files/simple_kg_pipeline_config_url.json`, `examples/build_graph/from_config_files/simple_kg_pipeline_from_config_file.py`, `examples/build_graph/from_config_files/simple_kg_pipeline_from_config_file_with_url.py`, `examples/build_graph/simple_kg_builder_from_pdf.py`, `examples/build_graph/simple_kg_builder_from_text.py`, `examples/customize/answer/custom_prompt.py`, `examples/customize/answer/langchain_compatiblity.py`, `examples/customize/build_graph/components/chunk_reader/neo4j_chunk_reader.py`, `examples/customize/build_graph/components/custom_component.py`

Host AI hard rules:
- Without repo_clone_verified=true, do not claim that the source code has been read.
- Without repo_inspection_verified=true, do not write README, docs, or package-file conclusions as facts.
- Without quick_start_verified=true, do not claim that the Quick Start path has run successfully.

## Doramagic Pitfall Constraints

These rules come from Doramagic discovery, validation, or compilation findings. The host AI must treat them as operating constraints, not background notes.

### Constraint 1: Installation risk requires verification

- Trigger: Project evidence flags a installation risk. Review the linked source before relying on this workflow.
- Host AI rule: Reproduce the official install and quickstart path in an isolated environment.
- Why it matters: May increase setup, validation, or first-run risk for the user.
- Evidence: community_evidence:github | https://github.com/neo4j/neo4j-graphrag-python/issues/406
- Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it.

### Constraint 2: Security or permission risk requires verification

- Trigger: Project evidence flags a security or permission risk. Review the linked source before relying on this workflow.
- Host AI rule: Reproduce the official install and quickstart path in an isolated environment.
- Why it matters: May increase setup, validation, or first-run risk for the user.
- Evidence: community_evidence:github | https://github.com/neo4j/neo4j-graphrag-python/issues/493
- Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it.

### Constraint 3: Security or permission risk requires verification

- Trigger: Project evidence flags a security or permission risk. Review the linked source before relying on this workflow.
- Host AI rule: Reproduce the official install and quickstart path in an isolated environment.
- Why it matters: May increase setup, validation, or first-run risk for the user.
- Evidence: community_evidence:github | https://github.com/neo4j/neo4j-graphrag-python/issues/542
- Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it.

### Constraint 4: Identity risk requires verification

- Trigger: Project evidence flags a identity risk. Review the linked source before relying on this workflow.
- Host AI rule: Reproduce the official install and quickstart path in an isolated environment.
- Why it matters: May increase setup, validation, or first-run risk for the user.
- Evidence: identity.distribution | https://github.com/neo4j/neo4j-graphrag-python
- Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it.

### Constraint 5: Installation risk requires verification

- Trigger: Project evidence flags a installation risk. Review the linked source before relying on this workflow.
- Host AI rule: Reproduce the official install and quickstart path in an isolated environment.
- Why it matters: May increase setup, validation, or first-run risk for the user.
- Evidence: community_evidence:github | https://github.com/neo4j/neo4j-graphrag-python/issues/430
- Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it.

### Constraint 6: Installation risk requires verification

- Trigger: Project evidence flags a installation risk. Review the linked source before relying on this workflow.
- Host AI rule: Reproduce the official install and quickstart path in an isolated environment.
- Why it matters: May increase setup, validation, or first-run risk for the user.
- Evidence: community_evidence:github | https://github.com/neo4j/neo4j-graphrag-python/issues/439
- Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it.

### Constraint 7: Capability evidence risk requires verification

- Trigger: README/documentation is current enough for a first validation pass.
- Host AI rule: Reproduce the official install and quickstart path in an isolated environment.
- Why it matters: May increase setup, validation, or first-run risk for the user.
- Evidence: capability.assumptions | https://github.com/neo4j/neo4j-graphrag-python
- Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it.

### Constraint 8: Runtime risk requires verification

- Trigger: Project evidence flags a runtime risk. Review the linked source before relying on this workflow.
- Host AI rule: Reproduce the official install and quickstart path in an isolated environment.
- Why it matters: May increase setup, validation, or first-run risk for the user.
- Evidence: community_evidence:github | https://github.com/neo4j/neo4j-graphrag-python/issues/446
- Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it.

### Constraint 9: Maintenance risk requires verification

- Trigger: Project evidence flags a maintenance risk. Review the linked source before relying on this workflow.
- Host AI rule: Reproduce the official install and quickstart path in an isolated environment.
- Why it matters: May increase setup, validation, or first-run risk for the user.
- Evidence: evidence.maintainer_signals | https://github.com/neo4j/neo4j-graphrag-python
- Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it.

### Constraint 10: Security or permission risk requires verification

- Trigger: no_demo
- Host AI rule: Reproduce the official install and quickstart path in an isolated environment.
- Why it matters: May increase setup, validation, or first-run risk for the user.
- Evidence: downstream_validation.risk_items | https://github.com/neo4j/neo4j-graphrag-python
- Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it.
