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bytewax

@bytewax

๐ŸŒฉ๏ธ Cloud native ๐Ÿš€ highly scalable #streamprocessing
๐Ÿ‘ open source ๐Ÿ #Python native

Slack ๐Ÿ’› GitHub โญ๏ธ & all other important links
bit.ly/m/bytewax

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linkhttp://bytewax.io calendar_today07-10-2020 22:22:38

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From our Bytewax family ๐Ÿ to yours, we wish you a Merry Christmas and a spectacular New Year! โ„๏ธ๐Ÿ’ซ This season, we celebrate not just the milestones weโ€™ve achieved but the incredible community that makes it all worthwhileโ€”you! ๐Ÿ’› May your holidays be as unique and wonderful

From our Bytewax family ๐Ÿ to yours, we wish you a Merry Christmas and a spectacular New Year! โ„๏ธ๐Ÿ’ซ 

This season, we celebrate not just the milestones weโ€™ve achieved but the incredible community that makes it all worthwhileโ€”you! 

๐Ÿ’› May your holidays be as unique and wonderful
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๐Ÿš€ ๐‘๐ž๐š๐ฅ-๐“๐ข๐ฆ๐ž ๐€๐ˆ ๐ˆ๐ฌ ๐‡๐ž๐ซ๐ž ๐ญ๐จ ๐’๐ญ๐š๐ฒ ๐Ÿš€ 2025 is here, and if thereโ€™s one thing we learned in 2024, itโ€™s this: real-time AI isnโ€™t optional anymore. Last year, we wrote about ๐˜™๐˜ฆ๐˜ต๐˜ณ๐˜ช๐˜ฆ๐˜ท๐˜ข๐˜ญ ๐˜ˆ๐˜ถ๐˜จ๐˜ฎ๐˜ฆ๐˜ฏ๐˜ต๐˜ฆ๐˜ฅ ๐˜Ž๐˜ฆ๐˜ฏ๐˜ฆ๐˜ณ๐˜ข๐˜ต๐˜ช๐˜ฐ๐˜ฏ (๐˜™๐˜ˆ๐˜Ž) and how itโ€™s

๐Ÿš€ ๐‘๐ž๐š๐ฅ-๐“๐ข๐ฆ๐ž ๐€๐ˆ ๐ˆ๐ฌ ๐‡๐ž๐ซ๐ž ๐ญ๐จ ๐’๐ญ๐š๐ฒ ๐Ÿš€

2025 is here, and if thereโ€™s one thing we learned in 2024, itโ€™s this: real-time AI isnโ€™t optional anymore. 

Last year, we wrote about ๐˜™๐˜ฆ๐˜ต๐˜ณ๐˜ช๐˜ฆ๐˜ท๐˜ข๐˜ญ ๐˜ˆ๐˜ถ๐˜จ๐˜ฎ๐˜ฆ๐˜ฏ๐˜ต๐˜ฆ๐˜ฅ ๐˜Ž๐˜ฆ๐˜ฏ๐˜ฆ๐˜ณ๐˜ข๐˜ต๐˜ช๐˜ฐ๐˜ฏ (๐˜™๐˜ˆ๐˜Ž) and how itโ€™s
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๐ŸŽฏ โ€œOperationalizing RAG: From batch processing to real-time APIsโ€ As part of our ongoing exploration into ๐‘๐ž๐ญ๐ซ๐ข๐ž๐ฏ๐š๐ฅ-๐€๐ฎ๐ ๐ฆ๐ž๐ง๐ญ๐ž๐ ๐†๐ž๐ง๐ž๐ซ๐š๐ญ๐ข๐จ๐ง (๐‘๐€๐†), weโ€™re tackling one of the biggest challenges of 2025: bringing RAG workflows to real-time applications.

๐ŸŽฏ โ€œOperationalizing RAG: From batch processing to real-time APIsโ€

As part of our ongoing exploration into ๐‘๐ž๐ญ๐ซ๐ข๐ž๐ฏ๐š๐ฅ-๐€๐ฎ๐ ๐ฆ๐ž๐ง๐ญ๐ž๐ ๐†๐ž๐ง๐ž๐ซ๐š๐ญ๐ข๐จ๐ง (๐‘๐€๐†), weโ€™re tackling one of the biggest challenges of 2025: bringing RAG workflows to real-time applications.
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๐Ÿค” "๐˜ž๐˜ฉ๐˜ข๐˜ต ๐˜ฉ๐˜ข๐˜ฑ๐˜ฑ๐˜ฆ๐˜ฏ๐˜ด ๐˜ธ๐˜ฉ๐˜ฆ๐˜ฏ ๐˜ข๐˜ฏ ๐˜“๐˜“๐˜” ๐˜ด๐˜ต๐˜ฐ๐˜ฑ๐˜ด ๐˜ซ๐˜ถ๐˜ด๐˜ต ๐˜ข๐˜ฏ๐˜ด๐˜ธ๐˜ฆ๐˜ณ๐˜ช๐˜ฏ๐˜จ ๐˜บ๐˜ฐ๐˜ถ๐˜ณ ๐˜ฒ๐˜ถ๐˜ฆ๐˜ด๐˜ต๐˜ช๐˜ฐ๐˜ฏ๐˜ด ๐˜ข๐˜ฏ๐˜ฅ ๐˜ด๐˜ต๐˜ข๐˜ณ๐˜ต๐˜ด ๐˜ณ๐˜ถ๐˜ฏ๐˜ฏ๐˜ช๐˜ฏ๐˜จ ๐˜บ๐˜ฐ๐˜ถ๐˜ณ ๐˜ธ๐˜ฐ๐˜ณ๐˜ฌ๐˜ง๐˜ญ๐˜ฐ๐˜ธ๐˜ด?" In our blog, we unpack the agentic design pattern and demonstrate how tool calling empowers agents

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๐Ÿง "๐ƒ๐ฎ๐ซ๐š๐›๐ข๐ฅ๐ข๐ญ๐ฒ ๐ข๐ฌ๐งโ€™๐ญ ๐จ๐ฉ๐ญ๐ข๐จ๐ง๐š๐ฅ. ๐ˆ๐ญโ€™๐ฌ ๐ฌ๐ฎ๐ซ๐ฏ๐ข๐ฏ๐š๐ฅ ๐Ÿ๐จ๐ซ ๐€๐ˆ ๐š๐ ๐ž๐ง๐ญ๐ฌ." AI agents have come a long way, evolving from early rule-based systems to the self-learning reinforcement agents of the 2010s, to todayโ€™s LLM-powered orchestrators of

๐Ÿง "๐ƒ๐ฎ๐ซ๐š๐›๐ข๐ฅ๐ข๐ญ๐ฒ ๐ข๐ฌ๐งโ€™๐ญ ๐จ๐ฉ๐ญ๐ข๐จ๐ง๐š๐ฅ. ๐ˆ๐ญโ€™๐ฌ ๐ฌ๐ฎ๐ซ๐ฏ๐ข๐ฏ๐š๐ฅ ๐Ÿ๐จ๐ซ ๐€๐ˆ ๐š๐ ๐ž๐ง๐ญ๐ฌ."

AI agents have come a long way, evolving from early rule-based systems to the self-learning reinforcement agents of the 2010s, to todayโ€™s LLM-powered orchestrators of
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๐ŸŽ™ ๐‘๐ž๐ฆ๐ข๐ง๐๐ž๐ซ: ByteTalks Podcast Is Here to Help You Build Better Analytics Weโ€™ve noticed itโ€™s easy to forget about great resources, so hereโ€™s a quick nudgeโ€”donโ€™t miss our ByteTalks ๐Ÿ podcast! In one episode, we walk through using Bytewax with ClickHouse to set up

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The streaming ecosystem is filled with powerful tools, but not all of them have aged โ—๏ธ gracefully. Some are resource-hungry, overly complex, or just donโ€™t scale well for real-time demands. Others might have been the โ€œdefaultโ€ choice years ago but now feel like baggage in a

The streaming ecosystem is filled with powerful tools, but not all of them have aged โ—๏ธ gracefully. Some are resource-hungry, overly complex, or just donโ€™t scale well for real-time demands. Others might have been the โ€œdefaultโ€ choice years ago but now feel like baggage in a
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Everyoneโ€™s talking about real-time AIโ€”from streaming ML models to LLM-powered applicationsโ€”but the tools for handling live data pipelines are still largely stuck in the Big Data era. Many AI engineers today arenโ€™t data engineersโ€”they focus on building and deploying models, not

Everyoneโ€™s talking about real-time AIโ€”from streaming ML models to LLM-powered applicationsโ€”but the tools for handling live data pipelines are still largely stuck in the Big Data era.

Many AI engineers today arenโ€™t data engineersโ€”they focus on building and deploying models, not
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my 3yo has had tons of dental/cavity issues. we've been taking her to dentists for years, and they have spent an awful lot of time not even subtly intimating that ๐ŸŒพ๐Ÿ๐Ÿ‚ bosco ๐Ÿ‚๐Ÿ๐ŸŒพ is a shitty mom. tonight i took our case to Dr ChatGPT what happened next ... may surprise you

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Stream processing should accelerate innovation, not slow teams down. Yet, many companies struggle with: โšก Flinkโ€™s complex Java-based architecture that limits accessibility ๐Ÿ›‘ High memory consumptionโ€”up to 25ร— more than Bytewax โณ Long development cycles that demand specialized

Stream processing should accelerate innovation, not slow teams down. Yet, many companies struggle with:

โšก Flinkโ€™s complex Java-based architecture that limits accessibility
๐Ÿ›‘ High memory consumptionโ€”up to 25ร— more than Bytewax
โณ Long development cycles that demand specialized
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๐Ÿค” ๐–๐ก๐ฒ ๐…๐ฎ๐ง๐œ๐ญ๐ข๐จ๐ง ๐‚๐š๐ฅ๐ฅ๐ข๐ง๐  ๐€๐ฅ๐จ๐ง๐ž ๐ˆ๐ฌ๐งโ€™๐ญ ๐„๐ง๐จ๐ฎ๐ ๐ก. LLMs calling functions? Cool. LLMs executing functions? Thatโ€™s where things get real. While OpenAIโ€™s function calling lets an LLM request actions, it still relies on humans to execute them. The next

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๐Ÿš€ ๐๐ž๐ฐ ๐ˆ๐ง๐ญ๐ž๐ ๐ซ๐š๐ญ๐ข๐จ๐ง ๐€๐ฅ๐ž๐ซ๐ญ! ๐Ÿš€ Streaming data from Kafka into SingleStore just got easier. We've built a custom Bytewax sink that enables seamless real-time data ingestion, transformation, and storageโ€”without unnecessary complexity. ๐Ÿ”น ๐–๐ก๐š๐ญโ€™๐ฌ

๐Ÿš€ ๐๐ž๐ฐ ๐ˆ๐ง๐ญ๐ž๐ ๐ซ๐š๐ญ๐ข๐จ๐ง ๐€๐ฅ๐ž๐ซ๐ญ! ๐Ÿš€

Streaming data from Kafka into <a href="/SingleStoreDB/">SingleStore</a> just got easier. We've built a custom Bytewax sink that enables seamless real-time data ingestion, transformation, and storageโ€”without unnecessary complexity.

๐Ÿ”น ๐–๐ก๐š๐ญโ€™๐ฌ
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Following up on last week's announcement, we want to talk more about bytewax and Lenses.io integration. ๐–๐ก๐š๐ญ ๐ƒ๐จ๐ž๐ฌ ๐ˆ๐ญ ๐Œ๐ž๐š๐ง ๐…๐จ๐ซ ๐Ž๐ฎ๐ซ ๐”๐ฌ๐ž๐ซ๐ฌ? Bytewax users can now: โ—†ย Discover what real-time data already exists withย ๐ญ๐ก๐ž ๐ƒ๐š๐ญ๐š ๐‚๐š๐ญ๐š๐ฅ๐จ๐  โ—†

Following up on last week's announcement, we want to talk more about <a href="/bytewax/">bytewax</a> and <a href="/lensesio/">Lenses.io</a> integration.

๐–๐ก๐š๐ญ ๐ƒ๐จ๐ž๐ฌ ๐ˆ๐ญ ๐Œ๐ž๐š๐ง ๐…๐จ๐ซ ๐Ž๐ฎ๐ซ ๐”๐ฌ๐ž๐ซ๐ฌ?

Bytewax users can now:

โ—†ย Discover what real-time data already exists withย ๐ญ๐ก๐ž ๐ƒ๐š๐ญ๐š ๐‚๐š๐ญ๐š๐ฅ๐จ๐ 
โ—†
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๐Ÿค” Who Should Care About Bytewax + Lenses.io Integrationโ€”And Why? Streaming is powering next-generation applications & AI. Here are a few industries that could benefit from this integration: โœ“ ๐‘๐ž๐ญ๐š๐ข๐ฅย โ€“ Real-timeย brand detectionย in retail environments provides a

๐Ÿค” Who Should Care About Bytewax + <a href="/lensesio/">Lenses.io</a> Integrationโ€”And Why?

Streaming is powering next-generation applications &amp; AI. Here are a few industries that could benefit from this integration:

โœ“ ๐‘๐ž๐ญ๐š๐ข๐ฅย โ€“ Real-timeย brand detectionย in retail environments provides a
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๐Ÿš€ ๐€๐ง๐ง๐จ๐ฎ๐ง๐œ๐ข๐ง๐  ๐ญ๐ก๐ž ๐๐ฒ๐ญ๐ž๐ฐ๐š๐ฑ ๐‚๐จ๐ง๐ง๐ž๐œ๐ญ๐จ๐ซ ๐Ÿ๐จ๐ซ ๐’๐Ÿ! ๐Ÿš€ Weโ€™re excited to introduce the Bytewax connector for S2 (StreamStore). S2 is the Stream Store, geared at bringing the object storage experience to streaming data. This means not worrying about

๐Ÿš€ ๐€๐ง๐ง๐จ๐ฎ๐ง๐œ๐ข๐ง๐  ๐ญ๐ก๐ž ๐๐ฒ๐ญ๐ž๐ฐ๐š๐ฑ ๐‚๐จ๐ง๐ง๐ž๐œ๐ญ๐จ๐ซ ๐Ÿ๐จ๐ซ ๐’๐Ÿ! ๐Ÿš€

Weโ€™re excited to introduce the Bytewax connector for S2 (StreamStore). 

S2 is the Stream Store, geared at bringing the object storage experience to streaming data. This means not worrying about
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๐Ÿ‘€ Following our S2 connector announcement this week, we're continuing the conversation on stream storage as a cloud-native primitiveโ€”this time with S2 (Stream Store). S2 rethinks storage for streaming data: unlimited streams, no brokers, elastic scaling down to zero. And now,

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โœจ ๐˜๐˜ข๐˜ฑ๐˜ฑ๐˜บ ๐˜ž๐˜ฐ๐˜ฎ๐˜ฆ๐˜ฏโ€™๐˜ด ๐˜‹๐˜ข๐˜บ ๐˜ต๐˜ฐ ๐˜ต๐˜ฉ๐˜ฆ ๐˜ค๐˜ฉ๐˜ข๐˜ฏ๐˜จ๐˜ฆ๐˜ฎ๐˜ข๐˜ฌ๐˜ฆ๐˜ณ๐˜ด, ๐˜ต๐˜ฉ๐˜ฆ ๐˜ฅ๐˜ณ๐˜ฆ๐˜ข๐˜ฎ๐˜ฆ๐˜ณ๐˜ด, ๐˜ข๐˜ฏ๐˜ฅ ๐˜ต๐˜ฉ๐˜ฆ ๐˜ฅ๐˜ฐ๐˜ฆ๐˜ณ๐˜ด!โœจ Your brilliance, resilience, and kindness shape a better world.๐Ÿ’› May today be a reminder of your power and an inspiration for all the incredible things

โœจ ๐˜๐˜ข๐˜ฑ๐˜ฑ๐˜บ ๐˜ž๐˜ฐ๐˜ฎ๐˜ฆ๐˜ฏโ€™๐˜ด ๐˜‹๐˜ข๐˜บ ๐˜ต๐˜ฐ ๐˜ต๐˜ฉ๐˜ฆ ๐˜ค๐˜ฉ๐˜ข๐˜ฏ๐˜จ๐˜ฆ๐˜ฎ๐˜ข๐˜ฌ๐˜ฆ๐˜ณ๐˜ด, ๐˜ต๐˜ฉ๐˜ฆ ๐˜ฅ๐˜ณ๐˜ฆ๐˜ข๐˜ฎ๐˜ฆ๐˜ณ๐˜ด, ๐˜ข๐˜ฏ๐˜ฅ ๐˜ต๐˜ฉ๐˜ฆ ๐˜ฅ๐˜ฐ๐˜ฆ๐˜ณ๐˜ด!โœจ

Your brilliance, resilience, and kindness shape a better world.๐Ÿ’› May today be a reminder of your power and an inspiration for all the incredible things