Ready to dramatically reduce time-to-market in building RAG-enabled enterprise applications? We're partnering with Datavolo to combine their Apache #NiFi -driven data engineering with our #GenAI expertise. Learn more 👇

#VectaraPartners bit.ly/4aPcVfU

Startup Datavolo raises over $21M to transform how generative AI models access unstructured data ift.tt/WpcOl85

We're pleased to announce our joint investment in @Datavolo along with @GeneralCatalyst and others to help revolutionize data pipelines with #AI . Read more at SiliconANGLE: spr.ly/6011Z0nv3

Gone are the days of simply managing data—AI has ushered in the era of intelligently leveraging data.

We're thrilled to support Joe Witt & Luke Roquet as they embark on the next phase of the Datavolo journey.

By quentinclark & Max Rimpel ↓
generalcatalyst.com/perspectives/o…

I'm excited to welcome Joe Witt, Luke Roquet and the whole team at Datavolo to the GC family! 🙌

We're thrilled to partner on this journey with you 😊
Read more about what got us excited below 👇
lnkd.in/g3yfV4HY

cc: General Catalyst , quentinclark

Tim Spann Apache NiFi Nice Tim. I’m working on a project right now where I’m doing email enrichment in an Apache NiFi flow, leveraging one of my homelab servers with an NVIDIA GeForce RTX 3090, running an ollama Mistral API, and have processed about 400k email messages. I’ve used Datavolo flowgen

Collecting Logs with Apache NiFi and OpenTelemetry

datavolo.io/2024/02/collec…

Building OpenTelemetry Collection in Apache NiFi with Netty

exceptionfactory.com/posts/2024/02/…

NiFi-LangChain, designed for constructing Large Language Model (LLM) pipelines within Apache NiFi using the composable LangChain Expression Language (LCEL), is now available on GitHub: github.com/lifan0127/nifi…

Leverage the new Apache NiFi Python extension for building processors with the LangChain Expression Language. LCEL's paradigm can seamlessly integrate with NiFi for No-Code LLM development. apex974.com/articles/nifi-…

The Apache NiFi Team is pleased to announce the release of Apache NiFi 2.0.0-M2.

NiFi 2.0.0-M2 incorporates major upgrades such as Spring Framework 6, Jetty 12, and Servlet API 6, plus new integrations with MongoDB, Microsoft Azure Data Explorer, and Zendesk.

nifi.apache.org/download/

Seven Strategies for Securing Data Ingest Pipelines

datavolo.io/2024/01/seven-…

This is the future of data pipelines.
Auto generate NiFi flows from natural language youtube.com/watch?v=3oRnUd…

#ApacheNiFi #data flows #data

Interesting! Generate Apache NiFi data flows using LLMs. youtu.be/3oRnUdE7x7w?si…

Apache NiFi has a lot of new features, processors and best practices that have arrived in the last year or so. I will walk through building flows using the latest tips, techniques and processor. spr.ly/6015rpaDW

The response from long time Apache NiFi users already as well as new ones tells us we are on the right track Datavolo to help a lot of organizations get their unstructured data to and through these powerful LLMs as well as help orchestrate other aspects of Gen AI data patterns

Great post and agreed. NiFi 2.0 helps data engineers move forward faster and helps put nifi in a great position to capture unstructured and multi modal data, chunk data, create embeddings, and write to vector stores.

A fitting new look for the NiFi website as the NiFi 2.0 M1 release gains traction. The new python integration and alignment to Generative AI use cases is huge for our community!

I just published My Year in Review — 2023 link.medium.com/4xRuvzBZGFb

#ApacheNiFi #ApacheKafka #ApacheFlink #ApachePulsar #ApacheIceberg #OpenSource #FLaNK

Finally done dickin around testing this database etc now. Started using Apache nifi and jesus is that an awesome piece of software. I also have zero idea in the world of etl/flow tools where this fits but so far it slaps for my needs.