Langflow Custom Components 101: Boost Your Chunking Process for Agentic RAG

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Langflow

Langflow

Күн бұрын

Пікірлер: 13
@watvki
@watvki 2 күн бұрын
Great video, I would love to see more tutorials and documentation about customizing components.
@fbiotech
@fbiotech 3 күн бұрын
It will be very useful to have a component that is able to take as input an audio or video files in order to have a pipeline to speech to text.
@samuelmatioli
@samuelmatioli 3 күн бұрын
We are working on things to deal with audio. Video will be next.
@HeicoSindel
@HeicoSindel 3 күн бұрын
@@samuelmatioliis it also possible to create audio files (tts)? And store them in a (shared ) directory or send it back if the Flow will be called via API?
@davewilson4427
@davewilson4427 4 күн бұрын
Two words: Refrigerator magnets! Also neo4j. Good job y'all!
@samuelmatioli
@samuelmatioli 3 күн бұрын
😄
@fbiotech
@fbiotech 3 күн бұрын
Perhaps it could be useful to have also a component able to interact with paperqa in order to deal with scientist publication
@fbiotech
@fbiotech 3 күн бұрын
And a component able to take emails as input.
@kbj2ee
@kbj2ee 4 сағат бұрын
How do I create a custom component that uses a new Python library in the LangFlow cloud environment?
@fbiotech
@fbiotech 3 күн бұрын
A connector to zotero
@ammarparmr
@ammarparmr 3 күн бұрын
Thanks Great content, however, you are a little bit fast
@samuelmatioli
@samuelmatioli 3 күн бұрын
Thank you for the feedback. I will try to improve that.
@pavelglebov9528
@pavelglebov9528 3 күн бұрын
Components of the telegram bot, receives messages from the telegram bot, and sends processed responses to Telegram.
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