# Ingest

> Ingest data from files, databases, APIs, or streams into VeritasReason knowledge graphs with schema mapping and entity linking.

- Skill: `bibinprathap/ingest` (Agent Skill)
- Install (CLI): `npx skillmds@latest add bibinprathap/ingest`
- Raw SKILL.md: https://api.skillmd.com/api/skills/bibinprathap/ingest/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: bibinprathap (https://skillmd.com/u/bibinprathap)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/bibinprathap/ingest

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# /veritasreason:ingest

Ingest new data into the knowledge graph. Usage: `/veritasreason:ingest <source> [args]`

`$ARGUMENTS` = source type + optional file path, connection string, or dataset identifier.

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## `file <path> [--format json|csv|yaml|xml]`

Ingest structured data from a local file.

```python
from veritasreason.ingest import ingest_file

data = ingest_file(file_path=path, method='file', file_format=file_format)
```

Output: imported node/edge count and ingestion summary.

---

## `db <connection> [--query <sql>]`

Ingest data from a database source.

```python
from veritasreason.ingest import ingest_database

result = ingest_database(connection_string=conn, query=query)
```

Return: rows ingested, mapped entities, and warnings.