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Nlp

This domain groups systems that solve Nlp problems - shared vocabulary, common interfaces, and repeatable operational constraints. Use this page to see which systems already exist, what they ingest and emit, and which patterns we repeatedly rely on in this problem space.

Domains are how we avoid reinventing the same solution in slightly different shapes. When a domain repeats, it’s a signal to standardize schemas, mapping layers, auth patterns, and operator workflows.

Domain guide

How to read this domain

Definition

This domain groups systems focused on nlp workflows, shared data models, and repeatable operational constraints.

What belongs

  • Systems where nlp is the primary problem space.
  • Integrations that move, validate, or enforce data in this domain.
  • Operational tools that reduce risk and manual work for this domain.

What doesn't

  • Generic tools where nlp is incidental metadata.
  • One-off experiments without domain-specific constraints.

Typical integrations and constraints

  • Source-of-truth feeds, vendor APIs, and scheduled extracts.
  • Schema drift, credential scope, and compliance requirements.
  • Role-based access and operational review cycles.

Common interfaces

  • REST/JSON APIs and vendor export endpoints.
  • CSV, SQL views, or Sheets-based boundary objects.
  • Auth boundaries (service accounts, OAuth, SSO).

Common patterns and playbooks

Dedupe Threading Redaction First

No playbooks mapped yet.

Results 1 project
Experiment · Idea

Email Corpus Ingestion Pipeline (EML)

Transform raw email archives into a structured, searchable knowledge system with strict privacy controls. It ingests EML files export; attachment metadata …

Reality Ingestion Canonical Storage Automation Engines
Open project