mirror of
https://github.com/qdrant/landing_page.git
synced 2026-09-28 23:48:31 +02:00
* docs: Reorder integrations * docs: Formatting langchain-go.md * docs: Title for index * docs: Redpanda docs (#1092)
34 lines
1.4 KiB
Markdown
34 lines
1.4 KiB
Markdown
---
|
|
title: Apache NiFi
|
|
aliases: [ ../frameworks/nifi/ ]
|
|
---
|
|
|
|
# Apache NiFi
|
|
|
|
[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.
|
|
|
|
NiFi supports ingesting and querying data in Qdrant via its processor modules.
|
|
|
|
## Configuration
|
|
|
|

|
|
|
|
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.
|
|
|
|
## Put Qdrant
|
|
|
|

|
|
|
|
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.
|
|
|
|
## Query Qdrant
|
|
|
|

|
|
|
|
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.
|
|
|
|
## Further Reading
|
|
|
|
- [NiFi Documentation](https://nifi.apache.org/documentation/v2/).
|
|
- [Source Code](https://github.com/apache/nifi-python-extensions)
|