Strategic alliance and joint product promises to broaden the
adoption of generative AI across industries
SAN
FRANCISCO, July 11, 2024 /PRNewswire/ -- Arize AI, a
pioneer and leader in AI observability and LLM evaluation, and
LlamaIndex, a leading data framework for LLM applications, debuted
a new joint offering today called LlamaTrace, a hosted version of
Arize OSS Phoenix.
According to a soon-to-release survey, 47.7% of AI engineers and
developers building generative AI applications are leveraging
retrieval today in their LLM Applications. By connecting data to
generative AI, orchestration frameworks like LlamaIndex can be
game-changers in accelerating generative AI development. However,
for many teams and enterprises technical challenges remain in
getting modern LLM systems – with layers of abstraction – ready for
the real world.
To help, Arize and LlamaIndex are debuting an LLM tracing and
observability platform that works natively with the LlamaIndex and
Arize ecosystem. With a foundation based on Arize Phoenix OSS, the
hosted version of Phoenix offers
the ability to persist application telemetry data generated during
AI development in order to better experiment, iterate, and
collaborate in development or production.
The solution has a foundation in open source and features a
fully hosted, online, persistent deployment option for teams that
do not want to self host. AI engineers can instantly log traces,
persist datasets, run experiments, run evaluations – and share
those insights with colleagues.
The new offering is available today, and can be accessed through
either a LlamaIndex or Arize account.
"We share a vision with LlamaIndex in enabling builders to
reduce the time it takes to deploy generative AI into production
but in a way that is super battle hardened for business-critical
use cases," said Jason Lopatecki,
CEO and Co-Founder of Arize. "As leaders in our respective spaces
with a common philosophy in empowering AI engineers and developers,
we're uniquely positioned here to do something that can move modern
LLMOps forward and broaden adoption."
"Prototyping a RAG pipeline or agent is easy, but every AI
engineer needs the right data processing layer, orchestration
framework, and experimentation/monitoring tool in order to take
these applications to production. LlamaTrace by Arize offers the
richest toolkit we've seen in enabling developers to observe,
debug, and evaluate every granular step of a very complex LLM
workflow, and it nicely complements the production-ready data
platform and orchestration framework that LlamaCloud and LlamaIndex
offer," said Jerry Liu, CEO of
LlamaIndex
About Arize AI
Arize AI is an AI observability and LLM
evaluation platform that helps teams deliver and maintain more
successful AI in production. Arize's automated monitoring and
observability platform allows teams to quickly detect issues when
they emerge, troubleshoot why they happened, and improve overall
performance across both traditional ML and generative use cases.
Arize is headquartered in Berkeley,
CA
About LlamaIndex
LlamaIndex is a data framework and
platform which lets developers easily build LLM applications over
their data. LlamaIndex provides an enterprise offering, LlamaCloud,
which lets developers efficiently parse, index, and retrieve over a
wide range of data sources. Developers can then use the core
open-source framework to orchestrate workflows with LLMs to build
production-grade applications, ranging from question-answering
chatbots to document extraction and summarization to autonomous
agents.
Media Contact: David Burch,
press@arize.com
View original content to download
multimedia:https://www.prnewswire.com/news-releases/arize-ai-llamaindex-roll-out-joint-platform-for-evaluating-llm-applications-302195015.html
SOURCE Arize AI