Ground your AI agent in provider data it can cite back to the source.

GET /api/v1/rag/chunks

curl "https://fonteum.com/api/v1/rag/chunks?limit=50&cursor=0" \
  -H "Accept: application/json"

Response

{
  "total": 124817,
  "next_cursor": 50,
  "chunks": [
    {
      "chunk_id": "source:nppes#overview",
      "text": "The CMS NPPES registry enumerates US healthcare providers ...",
      "cite": "CMS NPPES, snapshot 2026-05-01",
      "source_url": "https://npiregistry.cms.hhs.gov/",
      "dataset_id": "nppes/v1",
      "provenance": {
        "_source": "CMS NPPES",
        "_source_url": "https://npiregistry.cms.hhs.gov/",
        "_snapshot": "2026-05-01",
        "_last_checked": "2026-06-17",
        "_methodology": "rag-chunks/v1",
        "_confidence": 1.0
      }
    }
  ]
}

Public endpoint, rate limited per source IP. Map each chunk to a LangChain Document or LlamaIndex TextNode — chunk_id as the id, text as the embed body, the provenance block as metadata. Full LangChain / LlamaIndex / MCP walkthroughs live in /docs/integrations.

1. 01Page the corpus with ?limit= and the returned next_cursor — one deterministic GET per page, no language model in the pipeline.
2. 02Map each chunk to a vector node: chunk_id as the primary key, text as the embed body, the provenance block as metadata.
3. 03Embed and index. Because chunk IDs are stable, a later re-pull upserts in place rather than duplicating vectors.
4. 04At answer time, carry the chunk's cite string and source_url into the response so every grounded fact footnotes its federal source.
5. 05Keep the provenance record with the answer — the audit trail that shows a model-surfaced provider fact is real, dated, and re-derivable.

Sample audit-evidence artifact

RAG CITATION — PROVENANCE RECORD
Answer fact ......... NPI 1003894328 is enrolled in Medicare
Grounded on chunk ... source:pecos#1003894328
Source .............. CMS PECOS
Source URL .......... https://data.cms.gov/provider-enrollment
Source snapshot ..... 2026-05-01
Last checked (UTC) .. 2026-06-17T14:02:11Z
Methodology ......... rag-chunks/v1
Re-derivable ........ GET /api/v1/rag/chunks (deterministic chunk_id)

The provenance record is the governance artifact: it shows a model-surfaced provider fact, the chunk it was grounded on, and the federal source and snapshot it re-derives from.