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 …
This domain groups systems that solve Knowledge Management 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.
This domain groups systems focused on knowledge management workflows, shared data models, and repeatable operational constraints.
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Transform raw email archives into a structured, searchable knowledge system with strict privacy controls. It ingests EML files export; attachment metadata …
Expose a private, extensible RAG platform that works offline and keeps data inside the execution environment. Ingest documents from a local folder, splitting …
Package the steps and configuration needed to get a local PrivateGPT instance running with custom documents. Install prerequisites and clone PrivateGPT to a …
Ship a known-good PrivateGPT configuration snapshot that the setup scripts can copy into a local installation. Provide default settings.yaml profiles and …
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