Named-entity bank validation and Rust-backed extraction
Project description
Named Entity Regex Builder (NERB)
NERB is a Python package, CLI, and MCP server for validated named-entity regex banks. It lets you define curated entity names and aliases, validate them before use, scan text locally with a Rust-backed engine, and return deterministic JSON records for agents, services, and CI gates.
Use NERB when you need:
- local, explainable extraction for known entities such as companies, people, products, codes, accounts, or domains;
- stable byte-offset records that agents can cite, patch, diff, evaluate, and promote;
- one shared extraction surface across Python code, shell commands, and MCP clients;
- Rust-backed matching performance without moving authoring, validation, and workflow control out of Python.
Installation
pip install --upgrade nerb
nerb --help
NERB requires Python 3.10 or newer. Published releases include the Rust extension in CPython 3.10 through 3.14 wheels
for Linux x86_64 (manylinux_2_28), macOS universal2 (x86_64 and arm64), and Windows x86_64. Source installs and other
platform builds require a Rust toolchain with cargo available on PATH.
From a source checkout:
git clone https://github.com/johnnygreco/nerb.git
cd nerb
make sync
uv run nerb --help
Quickstart
JSON banks are the main format for agent and service workflows. A bank stores entity types, canonical names, literal or
regex patterns, statuses, metadata, and optional eval references in one validated JSON object. See
docs/schemas.md for the complete bank schema, extraction record contracts, eval JSONL format, and a
copyable minimal company.json.
Validate and extract:
nerb validate-bank --bank company.json
nerb extract-text --bank company.json --text "Send this to Acme Corp today."
nerb extract-file --bank company.json --file email.txt
nerb extract-report --bank company.json --file email.txt
Extraction responses are JSON. Records include canonical names, matched strings, byte offsets, JSON-bank IDs, pattern kind, and the current captures object.
Agent repair and promotion commands use the same JSON-compatible response style:
nerb apply-patches --bank company.json --patch patches.json
nerb diff-banks old-company.json new-company.json
nerb eval-bank --bank company.json
nerb benchmark-bank --bank company.json
nerb regress-bank --old-bank old-company.json --new-bank new-company.json
apply-patches accepts RFC 6902 JSON Patch operations, validates the patched candidate, and returns diagnostics with
the candidate response. regress-bank combines diff, eval, and benchmark checks so a bank update can be promoted by a
machine-readable gate.
Python API
Use JSON-bank helpers for agent, service, and test integrations:
from nerb import extract_text, load_bank, validate_bank
bank = load_bank("company.json")
validation = validate_bank(bank)
result = extract_text(bank, "Send this to Acme Corp today.")
print(validation["valid"])
print(result["records"])
For direct source-bank scanning, use the Rust-backed Bank API:
from nerb import Bank
bank = Bank.from_source_bytes(b'{"ARTIST":{"Rush":"Rush"}}', format_hint="json")
records = bank.scan_text("Rush played in Toronto.")
Bank.scan_text returns records with entity, canonical_name, surface_name, string, start, end, and
offset_unit. Byte offsets are the default record contract across the CLI, Python helpers, and MCP tools.
Other public helpers include apply_bank_patches, bank_stats, benchmark_bank, canonicalize_bank, diff_banks,
eval_bank, extract_batch, extract_file, extract_report, explain_match, hash_bank, regress_bank, and
validate_bank_schema.
MCP Server
NERB ships a local stdio MCP server for agents that should validate, patch, diff, scan, report, evaluate, benchmark, or regress banks without reimplementing file handling or serialization.
nerb-mcp --version
Minimal installed-package client config:
{
"mcpServers": {
"nerb": {
"command": "nerb-mcp"
}
}
}
From a source checkout, point the client at the repo:
{
"mcpServers": {
"nerb": {
"command": "uv",
"args": ["run", "nerb-mcp"],
"cwd": "/path/to/nerb"
}
}
}
The MCP tools mirror the Python and CLI surfaces: JSON-bank validation, patching, diffing, extraction, reporting, eval, benchmarking, regression, stats, and match explanation. Config-backed extraction tools are also available for YAML detector configs.
YAML Detector Configs
YAML detector configs are a compact authoring format for simple regex extraction:
ARTIST:
Pink Floyd: 'Pink\sFloyd'
The Who: '[Tt]he\sWho'
GENRE:
_flags: IGNORECASE
Rock: '(?:progressive\s)?rock'
Common commands:
nerb init --config detectors.yaml
nerb add ARTIST "Pink Floyd" 'Pink\sFloyd' --config detectors.yaml
nerb validate --config detectors.yaml
nerb doctor --config detectors.yaml --format json
nerb extract ARTIST document.txt --config detectors.yaml --format json
nerb extract --all --text "Pink Floyd played progressive rock." \
--detector 'ARTIST:Pink Floyd=Pink\sFloyd' \
--detector 'GENRE:Rock=rock' \
--format json
Config path resolution is explicit --config, then NERB_CONFIG_PATH, then the platform user config path. YAML
extraction uses the same Rust-backed Bank scanner and byte-offset record contract.
Performance
NERB uses Python as the authoring and control plane, and Rust as the matching data plane. Literal and regex patterns are canonicalized into Rust detector metadata, scanned natively, then projected into stable JSON records. Compiled banks are cached in process by canonical bank hash, engine version, compile options, and platform dimensions.
The final Rust engine gate covers conformance, dense memory, mode strategy, wheel smoke tests, and a representative
synthetic medium bank with 1,000 entities. See docs/performance.md and
docs/rust-engine-gates.md for reproducible benchmark and release-gate evidence.
Development
make sync
make check
make build
make check runs Ruff linting and formatting checks, mypy src/nerb, ty check, and pytest. make build builds and
validates the source distribution plus the local platform wheel with twine check --strict.
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