Ingesting Text, Files, and URLs

You have a folder of markdown docs, or a set of PDFs, HTML pages, and spreadsheets, and you want them searchable. @use-crux/ingest loads that source material and turns it into documents a corpus sync can consume. Indexing a folder takes a few lines:

import { filesSource } from "@use-crux/ingest/files";

const loader = filesSource(
  { directory: "./docs", recursive: true },
  { namespace: "product-docs" },
);

await docsCorpus.sync(loader.load(), {
  sourceSet: "complete",
  stale: "delete",
});

(docsCorpus is a corpus() wrapping an indexer(); the wiring section below shows the full setup.)

Use @use-crux/ingest when you want a first-party path for text, local files, folders, globs, or URLs. If your documents already exist in memory, you may not need it at all: pass documents straight into corpus.sync() or indexer.indexDocuments() and skip the loading layer entirely.

Bundled loaders

Crux ships a small set of loaders that all return the same SourceLoader interface.

Every loader plugs into a corpus sync exactly like the filesSource() example above.

Use load() for product jobs because one bad source becomes a failed source record instead of crashing the whole sync. Use documents() when a script or test should fail fast.

Bundled parsers

Loaders pick a parser from the file extension, URL content type, URL extension, or PDF magic bytes. Every parser produces parts first, then Crux derives content.

If a built-in parser is too generic, override it at the source:

const loader = filesSource(
  { glob: "**/*.acme" },
  {
    namespace: "product-docs",
    parsers: [
      {
        name: "acme",
        formats: ["unknown"],
        parse: ({ text }) => ({
          parts: [{ id: "acme:1", kind: "text", content: text ?? "" }],
        }),
      },
    ],
  },
);

The core contract

Everything in @use-crux/ingest reduces to two small types: IngestDocument (namespace, source ID, parsed parts, derived content, title, metadata) and SourceLoader (an async iterable exposing load() and documents()). The full type shapes live in the ingest reference.

The async-iterable shape is the important part. It lets loaders stay simple for small cases while still supporting large corpora, streaming sources, and custom integrations without forcing everything through one giant array in memory.

parts is the canonical parsed structure. content is derived from parts for the current text chunking path, which means users can start with normal text retrieval while still retaining page, table, sheet, and JSON-path provenance.

There are two read modes. load() yields result objects, including failed source results, so corpus sync can keep going and record failures. documents() yields plain documents and throws on failure, which is better for scripts and tests.

Starting with text

If the content is already in your app, textSource() is the simplest path:

import { textSource } from "@use-crux/ingest";

const loader = textSource({
  namespace: "product-docs",
  sourceId: "faq",
  title: "FAQ",
  content: faqText,
});

This is also the easiest bridge for your own connectors. If you already know how to fetch content from a CMS, API, or internal system, you can usually shape it into IngestDocument and either feed it into a corpus sync or wrap it in a small custom loader.

Loading from files

For local docs, fileSource() and filesSource() give you a standard path.

import { filesSource } from "@use-crux/ingest";

const loader = filesSource(
  { directory: "./docs", recursive: true },
  { namespace: "product-docs" },
);

Today that covers plain text, Markdown, HTML, PDF, CSV, JSON, DOCX, and XLSX files. PDFs become page parts. CSV and spreadsheet content becomes table/sheet parts. JSON becomes path-addressed parts. DOCX files are converted through Mammoth so headings, paragraphs, and tables can move through the same document model as everything else.

The point is not to hide the source format. It is to normalize common formats into one document model so indexing can stay generic.

Loading from URLs

For web-hosted content, urlSource() and urlsSource() fetch content and normalize it into the same document model.

import { urlsSource } from "@use-crux/ingest";

const loader = urlsSource(
  ["https://example.com/docs/roadmap", "https://example.com/docs/pricing"],
  {
    namespace: "product-docs",
  },
);

HTML is converted into readable text parts with title extraction. PDF responses are parsed into pages. Source URLs are preserved in metadata. Failed requests are returned as failed source results through load() and throw through documents(). The goal is a pragmatic ingestion path, not a crawler framework.

That boundary matters. @use-crux/ingest should help users load documents, not pretend to solve every website-ingestion problem in the ecosystem.

Wiring into indexing

The normal product pattern is simple: create an indexer for the write rules, wrap it in a corpus, and sync loader output into that corpus.

import { corpus, indexer } from "@use-crux/core/indexing";

const docsIndexer = indexer({
  id: "docs",
  namespace: "product-docs",
  records,
  vectors,
  dense,
});

const docsCorpus = corpus({
  id: "docs",
  namespace: "product-docs",
  records,
  indexer: docsIndexer,
});

await docsCorpus.sync(loader.load(), {
  sourceSet: "complete",
  stale: "delete",
});

That is the whole point of giving ingestion and corpus sync matching document shapes. The layers connect naturally without needing a translation step in the middle.

Use indexer.indexDocuments(loader.load()) when you want a direct one-off write, a test fixture, or a deliberately manual update. Use corpus.sync() for repeated ingestion jobs because it remembers source state, skips unchanged sources, and can remove stale records when the caller supplies the complete source set.

If you do want a translation step, you still can. You can iterate over the loader, transform documents, and then pass the result onward. The contract stays small enough that users can keep control.

Parsers and OCR

Built-in parsers are source-local and overridable. If a file type needs custom treatment, pass a parser to the source that owns that load:

const loader = filesSource(
  { glob: "**/*.acme" },
  {
    namespace: "product-docs",
    parsers: [
      {
        name: "acme",
        formats: ["unknown"],
        parse: ({ text }) => ({
          parts: [
            {
              id: "acme:1",
              kind: "text",
              role: "paragraph",
              content: text ?? "",
            },
          ],
        }),
      },
    ],
  },
);

PDF extraction includes an OCR hook for image-only pages. Crux does not ship an OCR provider; the hook is the extension point for teams that already have one.

const loader = filesSource(
  { directory: "./pdfs" },
  {
    namespace: "docs",
    ocr: async ({ pageNumber }) => `OCR text for page ${pageNumber}`,
  },
);

Source IDs and metadata

Two fields matter more than they first appear to.

sourceId should usually be stable, unique inside a namespace, and meaningful enough that later operations like deletion or reindexing still make sense. If source IDs drift every run, indexing semantics get much worse.

metadata is where domain-specific context belongs. Section names, locales, product areas, visibility levels, owners, and similar fields all belong there. Crux should own the retrieval plumbing; your application should own the domain labels.

Structured parts carry their own provenance too. Page parts include pageNumber, table parts include rows and columns, sheet parts include sheetName, and JSON parts include path. The default chunker only uses the derived text today, but custom chunkers can use that structure immediately.

Custom loaders

Crux does not need a first-party connector for every CMS or API to support real ingestion workflows. The stable extension point is the loader interface itself. If you can yield IngestDocument values, you are already inside the model.

That makes custom loaders a first-class story rather than a fallback:

• internal APIs
• CMS exports
• database-backed sources
• background sync jobs

The package stays small, and users do not get blocked.

What @use-crux/ingest is not trying to be

It is not a crawler, a connector marketplace, a CMS framework, or a document intelligence platform; it is the thin loading layer that makes the rest of the retrieval stack coherent.

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