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AnushandKacper Łukawski
aec0935542
Co-authored-by: Kacper Łukawski <kacperlukawski@users.noreply.github.com>
34 lines
1.4 KiB
Markdown
34 lines
1.4 KiB
Markdown
---
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title: Apache NiFi
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weight: 3500
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---
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# Apache NiFi
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[NiFi](https://nifi.apache.org/) is a real-time data ingestion platform, which can transfer and manage data transfer between numerous sources and destination systems. It supports many protocols and offers a web-based user interface for developing and monitoring data flows.
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NiFi supports ingesting and querying data in Qdrant via its processor modules.
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## Configuration
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You can configure Qdrant NiFi processors with your Qdrant credentials, query/upload configurations. The processors offer 2 built-in embedding providers to encode data into vector embeddings - HuggingFace, OpenAI.
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## Put Qdrant
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The `Put Qdrant` processor can ingest NiFi [FlowFile](https://nifi.apache.org/docs/nifi-docs/html/nifi-in-depth.html#intro) data into a Qdrant collection.
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## Query Qdrant
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The `Query Qdrant` processor can perform a similarity search across a Qdrant collection and return a [FlowFile](https://nifi.apache.org/docs/nifi-docs/html/nifi-in-depth.html#intro) result.
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## Further Reading
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- [NiFi Documentation](https://nifi.apache.org/documentation/v2/).
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- [Source Code](https://github.com/apache/nifi-python-extensions)
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