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Documents
Ingest Document From Embedding
Ingest a document directly from a pre-computed embedding vector.
This endpoint allows you to create documents directly from embedding vectors,
bypassing the file upload and text extraction process. This is useful when:
You already have pre-computed embeddings
You want to ingest structured data or custom content
You need to create documents from API responses or generated content
You want to maintain embedding consistency across systems
The embedding vector must be exactly 1536 dimensions (OpenAI’s text-embedding-ada-002 format).
Performance Benefits:
No file processing overhead
No text extraction or embedding generation
Immediate availability for search
Synchronous operation (completed immediately)
Retrieval:
Documents can be retrieved using the returned task_identifier via GET /task/
External ID retrieval also works via GET /external/ if provided
Best Practices:
Ensure embedding vector quality matches your use case
Include meaningful content text for human readability
Use consistent metadata structure for filtering
Consider embedding source and generation method in metadata
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Document","href":"/api-reference/documents/ingest-document"},{"openapi":"post /api/v1/documents/ingest/url","title":"Ingest Document From Url","description":"Ingest a document from a URL.","href":"/api-reference/documents/ingest-document-from-url"},{"openapi":"post /api/v1/documents/ingest/embedding","title":"Ingest Document From Embedding","href":"/api-reference/documents/ingest-document-from-embedding"},{"title":"Get Document Answer","description":" Answer a question based on the documents matching the provided metadata filter. \u003cbr /> The `metadata_filter` parameter supports MongoDB-like query syntax with operators: \u003cbr />\n- Comparison: `$eq, $ne, $gt, $lt, $gte, $lte, $in, $nin`\n- Array: `$contains, $containsAny, $notContains, $size`\n- Logical: `$and, $or, $not`\n- Type: `$type`\n- Regex: `$regex, $iregex`\n\u003cbr />\n#### Example Metadata Filter\n```json { \"$and\": [ { \"category\": \"finance\" }, { \"tags\": { \"$contains\": [\"important\"] } }, { \"$or\": [ { 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