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4 changes: 2 additions & 2 deletions .secrets.baseline
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"filename": "src/backend/base/langflow/initial_setup/starter_projects/Knowledge Ingestion.json",
"hashed_secret": "c2dc8a1d72a39ee9da360d47dcadfd7a5560ee7f",
"is_verified": false,
"line_number": 93
"line_number": 94
}
],
"src/backend/base/langflow/initial_setup/starter_projects/Knowledge Retrieval.json": [
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}
]
},
"generated_at": "2026-03-03T17:44:43Z"
"generated_at": "2026-03-04T23:52:18Z"
}
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"data": {
"id": "note-ByFTQ",
"node": {
"description": "# 📖 README\nThis flow shows the basics of the creation and ingestion of knowledge bases in Langflow. Here we use the `URL` component to dynamically fetch page data from the Langflow website, split it into chunks of 100 tokens, then ingest into a Knowledge Base.\n\n1. (Optional) Change the URL or switch to a different input data source as desired.\n2. (Optional) Adjust the Chunk Size as desired.\n3. Select or Create a new knowledge base.\n4. Ensure the column you wish to Vectorize is properly reflected in the Column Configuration table.",
"description": "## Knowledge Ingestion\n\nThis flow shows the basics of the creation and ingestion of knowledge bases in Langflow. Here we use the `URL` component to dynamically fetch page data from the Langflow website, split it into chunks of 100 tokens, then ingest into a Knowledge Base.\n\n1. (Optional) Change the URL or switch to a different input data source as desired.\n2. (Optional) Adjust the Chunk Size as desired.\n3. Select or Create a new knowledge base.\n4. Ensure the column you wish to Vectorize is properly reflected in the Column Configuration table.",
"display_name": "",
"documentation": "",
"template": {}
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from langflow.schema.dataframe import DataFrame
from langflow.schema.message import Message
from lfx.base.knowledge_bases import get_knowledge_bases
from lfx.components.knowledge_bases import KnowledgeIngestionComponent
from lfx.components.deactivated.ingestion import KnowledgeIngestionComponent

from tests.base import ComponentTestBaseWithClient

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