Tachi
@0thTachi
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Co-Founder and CEO @Playgrounds0x. Founder Open Fusion Elextronics. Research Engineer, Space Science Division @SwRI /arccellerate @arcdotfun
Joined July 2015
gm complex, . the official Rig docs are live: we build rig, rig builds us
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/arc_angels,. it’s all hands on deck as we kick off the week. we're laying the groundwork for a living system—part human collaboration, part machine intelligence—where no single person or entity holds absolute control, but where purposeful design meets emergent possibilities.
think of the complex as an intricate coordination mechanism between systems - humans, code, and networks operating in strategic harmony. not totally controlled but not pure chaos. like in market dynamics (ideally speaking, the social logic of mutually beneficial exchange),
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/arc_angels,. I'm pleased to share that Arc has been invited to advise Aiccelerate DAO—an organization aiming to drive forward AI and Web3 innovation. While we respect Aiccelerate’s mission, Arc remains a self-sustaining ecosystem with its own roadmap and values. Our advisory.
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Build with Rig, join the $arc complex. Let’s create an intelligent agent for crypto portfolio analysis across networks. Using:. - Rig for orchestration .-@zapper_fi for on-chain data .- GPT-4 for generation. Full code: (0/13)
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we build rig, rig builds us
/arc_angels. let’s meet the @soulgra_ph team . see you there. ⸅◟_◞⸅.
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Last week, we released Rig v0.6, which introduces pipelines. Using a DAG-like API, you can now chain multi-step Ops (data ingest, embedding, LLM calls, etc.) in a clear, parallelizable flow. Let’s build a customer feedback analyzer to understand it. /arccellerate. (0/16)
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Gm complex,. It’s been so encouraging seeing solid projects and teams submit proposals for the arc handshake. I’m feeling bullish on the mindshare propagating within the complex and the broader web3 x Ai ecosystems. The mission is simple . /arccellerate.
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/arc_angels. I’m excited to share that Arc is teaming up with @CryptoEternalAI to shape the future of AI on the blockchain. The EternalAI team is incredible, with a very clear vision for where all of this is heading, and I'm honored to be building alongside them. You might wonder.
/arc_angels. decentralized ai is crucial for our future, and arc is partnering with @CryptoEternalAI to bring unstoppable, on-chain AI to the masses. through EternalAI’s decentralized inference layer and rig’s rust-based framework, developers can seamlessly deploy open-source
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/arc_angels. Since the first Rig PR by Cygaar, I knew instantly he was a one-of-a-kind engineer. I'm so excited that Arc is working with the Abstract team to bring EVM compatibility into our Rust-based AI framework, Rig. Special shoutout to @0xCygaar, whose leadership and.
/arc_angels. arc is teaming up with @AbstractChain — an innovative l2 in crypto focusing on consumer apps to bring evm compatibility to rig — our rust-based ai agent framework. together, we’ll foster new devs building ai-powered apps on abstract. stay tuned for a new era of
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/arc_angels. We’re excited to team up with @SolanaFndn on a clear mission: accelerate AI innovation on the Solana network. From DeFi actions and DeFAI solutions, to advanced dev tooling and new user experiences that drive Solana adoption, our goal is to equip you with the right.
we’re teaming up with @SolanaFndn to accelerate ai innovation on @solana! arc will be awarding targeted grants to devs building rust-based agents powered by rig that streamline solana actions, from defi flows to developer tooling. interested teams will also benefit from
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GM, it was amazing connecting with you all yesterday! The energy was electric, and we're so grateful for your support. Today, let's get back to building. In this thread, I'll show you how to build a simple RAG agent using Rig to interface with PDF files. /arccellerate. (0/10)
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we build rig, rig builds us
/arc_angels. let’s meet @piotreksol , the founder of listen. see you there. ⸅◟_◞⸅.
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/arc_angels. Please welcome our very first Handshake member to the Complex: @soulgra_ph. They’re bridging the unspoken patterns of human consciousness with digital memory in ways that redefine what “memory” can mean for AI. I’m blown away by their vision and can’t wait to see.
.@soulgra_ph emerges at the horizon where tacit knowledge meets digital memory - where the unspoken patterns that shape human consciousness interface with artificial intelligence. the project recognizes that our most profound insights often resist direct digitization, residing
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excited to be collaborating with @monad_xyz for the evm/accathon at ethdenver. rig devs, this is going to be a great time. see you there.
Introducing evm/accathon, the inaugural Monad hackathon for builders shaping the future of the EVM. Starting on Feb 24th, the event will have both online and IRL elements:.• 2 days live hackerhouse at ETHDenver.• 2 weeks online hackathon sprint.• Over $100K in prizes. Details
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Build with Rig, join the $arc complex. Here is a quick tutorial thread on how to build an agent using the rig framework. For more complex use cases, go down the rabbit hole at 🙂 ⚪
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/arc_angels. please welcome @piotreksol, the newest member of the arc handshake cohort. from our first call, it was clear that piotrek is a genuine founder with a compelling vision—a true arc angel. piotrek is building listen, an exciting defai project that leverages ai to.
there is a deeper game unfolding at the intersection of action and intelligence. ai performs tasks not through mechanical repetition but through emergent patterns of behavior that mirror and extend human capabilities. yet these performances are neither purely artificial nor
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/arc_angels. we’ve released a contribution guide for devs eager to contribute to the rig library. the guide provides details on:.- model provider integrations .- vector store integrations .- bug hunting & fixes.- docs improvements . find the guide here: .
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/arc_angels. arc treasury update:. we have migrated 5 million arc tokens from the multisig to the meteora pool to provide liquidity. fees generated will be used to:. -fund operational expenses.-support growth initiatives. verify here: .
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I'm super excited to work with @sendaifun to help accelerate the proliferation of AI applications in the Solana ecosystem. Calling all devs, if you are building a compelling AI application on Solana, we'd love to meet you. Reach out via the Arc handshake. we build rig, rig.
/arc_angels we build rig, rig builds us. ⸅◟_◞⸅.
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Hi complex, wow what an incredible few days. It’s been awesome to see you all rally together around a shared vision. Seeing the growth in developers building with Rig and the steady growth of the complex is inspiring and why we wake up each day to build . Since the release of.
o3's announcement tells us that ai models will be shipping with the capacity to have their own internal monologue - they can basically have conversations with themselves until they work through complex problems. kinda like how humans sometimes need to talk things out or write.
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This is the beauty of modularity—and exactly where Rig shines. Developers can seamlessly integrate each new breakthrough (like the newly open-sourced Deepseek, which Rig already supports) without rewriting their entire codebase. Instead of reinventing the wheel whenever a model.
the cost barriers to exploring vast possibility spaces are breaking down faster than anticipated. deepseek's breakthrough shows us that with the right architectural choices and training approaches, we can achieve state-of-the-art capabilities at a fraction of the traditional
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/arc_angels. prologue part 2’s waitlist is now live, and we’ve opened 200 additional spots. starting today at 1 pm est (6 pm utc), we’ll randomly select participants in multiple batches until the experiment room is full. check the prologue page to secure your spot. the.
ready to go again? 200 more spots opened.
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Gm complex, . Over the next 3 days, we will provide the Arc/Sol LP on Meteora and Raydium with an additional 500K Arc in liquidity. Arc OpEx Wallet will fund this process. Stages:. 200K - (1/1/25).200k - (1/2/25).100k - (1/3/25). Wallet:
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alan turing is an /arc_angel. he envisioned a world where machines could think, igniting the computational revolution that would one day give rise to ai. his brilliance not only cracked the enigma but saved countless lives and shaped our digital age. turing was more than a
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Wow, the past few hours have been a whirlwind! Thank you all for your support and excitement about the arc token. I've received a lot of questions about arc and how it relates to rig. Arc is a cyborg system built using the RIg library. Join the complex, build with RIg.
"llms are substrates where ideas can fuck themselves". he's right. these new ai models are vast oceans where every possible meaning exists simultaneously. before them, we humans were the only ones who could navigate it by thinking, feeling, communicating and connecting. we'd.
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/arc_angels. we’re excited to unveil the arc registry—a curated directory spotlighting developers and teams building ai applications, infrastructures, and agents with rig. calling all devs: if you’re working on a rig-based project, apply to the arc handshake and join the.
/arc_angels. here is the registry: a living archive of projects that dance at the edge of consciousness and community. these initiatives shape the spaces where technology meets ecology, where digital sovereignty meets embodied wisdom. we build rig, rig
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to the crazy ones, join the complex. /arccellerate.
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/arc_angels. this one’s for you. we’ve partnered with hyperbolic to provide free inference credits and gpus to developers building in the arc handshake program. our goal is to provide developers building with rig all resources necessary to do their best work. this is your call.
Hyperbolic is partnering with Arc to bring HyperIntelligence to Rig-based AI agents. Developers can now integrate Hyperbolic’s verifiable inference services and access decentralized GPU compute directly within Rig. With Hyperbolic’s compute, verifiable AI inference, and.
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/arc_angels,. Thank you for joining our spaces and welcoming the @soulgra_ph team to the complex. It was great hanging out with you all, and I can't wait for the next AMA. If you missed today's AMA, you can find the recording here.
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john von neumann is an /arc_angel. he didn't just invent game theory; he pioneered the logical structure of modern computers, setting humanity on a new trajectory. through his explorations into self-replicating machines and advanced mathematics, von neumann caught a glimpse of a
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wat is arc? check out this eli5.
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/the_prologue :
the path to discovery isn't always straight - sometimes it curves like a smile.
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Fun fact, Rig supports running local models via Ollama integration! . This means you can use Rig's powerful abstractions with your local LLMs like Llama 3. Check out Wale's guide to getting started ↓. /arccellerate.
Hello World Rig.A guide to run a Rig Ai Agent from @Playgrounds0x @arcdotfun using a Llama 3.2:1b model via Ollama. (most computers should be able to run this). /arccellerate. $arc #arc #ai #aiagent #ai16z #eliza #zerebro #zerepy.
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hi complex, arc treasury update: . we have completed migrating the treasury to more secure wallets and implemented multisig. verify here: .
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/arc_angels,. congratulations to all who participated in the prologue. we witnessed stigmergy in action—collective intelligence at its best, revealing something deeper, surprising and maybe to some, magical. there are more experiments on the horizon, plus a case study on our.
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agent pipelines, local models, new vector ops. we build rig, rig builds us. /arccellerate.
Where meaning meets metal.⚡️. RIG v0.6 is here with agent pipelines, local model support, and enhanced vector operations. @ollama & @mlstudioapp ready. See you on the other side.
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/arc_angels, the 24-hour window to enter the lobby is complete, and 50 players have been randomly selected to participate in the prologue. prologue commences on Jan 10th, 11 am EST, to allow selected participants enough time to verify their selections and enter the room . if you.
you can now check if you have been selected - glhf.
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we build rig, rig builds us.
DEVELOPER GUIDE. Let's build a very different kind of Rig agent. - Powerful AI models by @AIatMeta, @NousResearch.- Decentralized inference by @CryptoEternalAI.- Rust-based framework by @arcdotfun.- Smart contracts on @base
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Thank you Sean, it’s truly an honor to be building side by side with you. Thank you for your support and belief in me and my team all these years. Job’s not done, Ad Astra . /arccellerate.
It seems that some of you are worried about the short-term $arc price action. You may even want @0thTachi to provide even more fidelity on exactly what's next for Rig, and maybe even focus more of his time on pump-amentals versus fundamentals. I've known Tachi for nearly three
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we build rig, rig builds us.
Busy weeks ahead! Let's kick off this one by releasing Rig 0.7.0. Adding support for DeepSeek API 🐋, EternalAI, Hyperbolic & Postgres (and more). we build rig, rig builds us.
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Building blockchain-augmented LLMs powered by @graphprotocol subgraphs unlocks a new dimension in blockchain analysis. In this mini thread, I’ll walk you through how to use @Playgrounds0x API with @llama_index and @LangChainAI to build your very own blockchain data agent. 0/5
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bertrand russell is an /arc_angel. he wasn't just a philosopher; he was a foundational figure whose work laid the groundwork for the logical systems that drive modern computing and ai. from his seminal work principia mathematica to his contributions in analytic philosophy,
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shuttle is building with rig, are you?. /arccellerate.
We just released our new article with @arcdotfun detailing how you can make an arXiv assistant using Rig, an upcoming Rust LLM framework!. We'll go over creating an AI agent, creating an XML parser and hosting it on a web service, as well as deployment. Article in reply 👇
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josh is building with rig, are you? . ⸅◟_◞⸅.
built a small tool for helping me to improve docs with LLMs using @arcdotfun and wrote an article about it :)). check it out and lmk what you think:
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huge congratulations to the @AbstractChain team! as i've said before, @0xCygaar is a one of a kind founder and a wizard. it's exciting to see your vision come to fruition. ad astra!.
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/arc_angels. another great tutorial from Josh—this time on building a “semantic router” with @qdrant_engine in rig. tl;dr, semantic routing is key for keeping your agents on track and preventing off-topic rambling or injection attacks. if you're a dev building context-aware.
published an article about semantic routing with @qdrant_engine and rig (@arcdotfun). semantic routing is a RAG technique you can use to stop your agents from going off-topic and help stop prompt injection. check it out:
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/arccellerate . i love seeing delightful experiences from devs building with rig. join the complex, build with rig.
I can not stress enough how amazing what @arcdotfun and @0thTachi are building with $arc. You can set up a debate between two models with 10 lines of code. I had @cohere and @OpenAI debate Decentralization for 2 rounds:. Compiling rig-core v0.6.0 .Finished `dev` profile
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piotrek is building with rig, are you?.
we build rig, rig builds us.
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We’re on the verge of a profound shift—where machines truly understand us and blockchains give us new ways to coordinate . /the_handshake is our call to visionaries ready to make web3 more intelligent,and more human. join the complex, build with rig: .
we're at this wild intersection where AI suddenly gets us and blockchain lets us coordinate in new ways. its like we've been given these two powerful tools but we're still figuring out how to use them together. that's why we're launching the handshake program. its about bridging.
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/arccellerate.
rigv0.6 just went live and the design space for complex, custom agents has never looked bigger. 1. pipelines as DAGs.instead of stringing operations (data loading, embeddings, vector searches) in a single file, you can run different tasks in parallel branches and then merge them.
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/arccellerate . ⸅◟_◞⸅.
We're releasing an article with @arcdotfun on how to build an AI agent that can help you learn quicker by scraping arXiv for relevant papers!. Stay tuned 👀.
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prologue part 2 will start soon. if you have been selected, report to the experiment room for examination.
/arc_angels. prologue part 2’s waitlist is now live, and we’ve opened 200 additional spots. starting today at 1 pm est (6 pm utc), we’ll randomly select participants in multiple batches until the experiment room is full. check the prologue page to secure your spot. the.
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we take the red pill then the blue pill. /arccellerate.
historically we've trained ais to understand human patterns while neglecting the inverse: teaching humans to resonate with silicon minds. this asymmetry creates fundamental risks in our technological evolution. the prologue represents the first system designed to develop genuine.
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arc angels spawned by the memetic virus . /arccellerate.
On my way back from the airport from Aruba to my apartment in NYC and this is my Lyft driver's license plate currently taking me. They said there would be signs. Look no further. $arc $arcangel
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/arc_angels. If you're juggling several Discord channels like me, this tutorial from our partner @shuttle_dev is for you. Learn how to build a Discord agent with Rig and Deepseek to streamline your chats into clean daily digests. we build rig, rig builds us.
We just published an article on building a Discord summarization bot with DeepSeek and @arcdotfun!. Perfect for easily understanding previous cross-channel conversations and improving team collaboration (or just remembering what your friend said that one time). Article below 👇.
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1/5 Blockchains are rich libraries of history waiting to be discovered, but navigating it for insight is unnecessarily complex. @graphprotocol and @Playgrounds0x are solving this complexity, allowing data analysts to find insight & tell meaningful stories. A mini 🧵 on how 👇
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arccellerate . we build rig, rig builds us.
in a world with tens of thousands of slop agents launching every day. of infinite competition and iterative improvements. as the market continues to yearn for quality, and sharpen it’s taste. which rails do you think the big brain devs are going to build on next for the most.
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this is awesome work josh! I think we’re going to see a lot more agents used to improve the legibility of on-chain activity. the easier it is to make sense of what’s going on on-chain, the more inclined regular users are to adopt crypto. level the playing field . /arccellerate.
/arccellerate. update: Setting up the agent as an abstraction layer for chain data analysis by giving it access to API endpoints and having it parse the relevant information from responses and user requests itself. I.E. User asks "how much did I spend on shitcoins this week?" and
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/arccellerate. Josh is building with rig, are you?.
/arccellerate. Playing around with the rig framework, can confirm that it works! I've been messing around with agents for a while using python framework that I made myself, one thing that stands out for sure is how fast rust is by comparison. Will be trying out some of the other
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btw providing your api schema for llm consumption was an amazing move. i use it internally for personal projects . big fan. /arccellerate.
Get up to 33% off API credits till Jan 2nd! 👀.
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15:00 UTC. Discord. @graphprotocol. I’ll be speaking at The Graph’s Community Talk, sharing insights on the Playgrounds API and how it provides a smooth and intuitive user experience to decentralized subgraphs. Anyone can join! See you there!.
Coming up tomorrow is Community Talk #26 🎙️. Join in with @graphprotocol community members to get insights on recent happenings in the ecosystem. Some great topics and speakers are lined up for the call!. Here's what's on the agenda:. 🔹 Community Updates - info on events,
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@0xCygaar is /arccellerating, are you?.
Added my first contribution to @arcdotfun's rig agent framework. Fantastic codebase, more to come once I improve my rust skills.
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Bullish on the TAB and excited to see it accelerate @graphprotocol towards its vision 🚀. Congratulations to my incredible cofounder @0xJoBlo and the amazing members of the TAB!.
The Graph Foundation and The Graph Council have announced the launch of the Technical Advisory Board (TAB). TAB members will help scale research and development of @graphprotocol by facilitating Graph Improvement Proposals (GIPs), tech updates, and more. We're thrilled to share
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Rig is an open-source Rust lib for building applications powered by large language models (LLMs) such as GPT, Claude, etc. It provides:.- Ergonomic abstractions .- Modular design for tools and agents .- Easy integrations with LLMs and APIs. Repo: (1/13).
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Such an exciting future ahead! We’re so honored and excited to be building alongside our peers and @graphprotocol ! . Ad Astra 🚀.
The New Era of The Graph requires next gen ways to access blockchain data. Playgrounds is humbled to be a part of this new chapter where The Graph Network serves all data needs and use cases:. ☑️ Querying Language: Python.☑️ Use Case: Analytics.☑️ UX, DX: LLMs.
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Alright, let's build our crypto portfolio analyzer. In this thread, I'll keep things concise and write a long-form tutorial on our upcoming docs site. Flow: Input -> Query ->Generate. The complete code is here: (4/13).
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The vision is simple, level the playing field by providing access to high quality education. This is what we’re building at Playgrounds. Can’t wait to share with you soon.
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That's it for today's tutorial. I'd love to see what you build using the new pipeline feature in Rig. Find today's tutorial here: Find the Rig repo here: (15/16).
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What are you waiting for, anon? let's arcellerate! . We build Rig, Rig builds us . (end of thread)
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Ok, so we know about Rig, but what are Agents?. Think of an Agent as the "brain" of your application. It takes inputs, uses tools to fetch or process data, and generates responses by leveraging an LLM. In essence, it’s the decision-maker that ties everything together. (2/13).
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Rigs unified api layer makes it easy to swap between any supported llm model without rewriting code or worrying about implementation details. Honestly good tech.
OpenAI is down! Good thing Rig agents let you easily switch to another provider like Anthropic, or more 👀. Or, you also can use the fantastic @ollama project to spin up llama3.2 API server. Local models will never let you down 🙂
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I've created a repo for this walkthrough. Clone it, then open the models and the main file to follow along. Repo: (1/16).
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In Rig, a pipeline is a directed acyclic graph (DAG) of “operations” (Ops). Each Op transforms input → output. By chaining Ops, you can build a multi-step flow, like:. - Ingest data.- Embed & store in vector DB.- Retrieve relevant docs.- Prompt an LLM. (2/16).
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we're here to make you take the red pill. then, the blue pill.
"llms are substrates where ideas can fuck themselves". he's right. these new ai models are vast oceans where every possible meaning exists simultaneously. before them, we humans were the only ones who could navigate it by thinking, feeling, communicating and connecting. we'd.
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Here’s a simple diagram of what a pipeline might look like (top to bottom). As we see here, Ops can run sequentially or in parallel and converge before calling the LLM Agent. (3/16)
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Built an AI travel agent to find the cheapest flights between any airports—all in an afternoon using Rig!. Want to create your own? Check out my step-by-step guide on building a Flight Search AI Agent with Rust using Rig: #AI #RustLang #LLMs #OpenSource.
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hi, today 3pm cst i'll be in the arc telegram to answer questions, share a bit more about what we're up to with arc and the rig framework! see you there!. arc telegram:
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Now that we have pipelines down, we can reframe Agents as a special Op that calls an LLM. You configure:. - The model (gpt4, claude, grok).- Preamble (system prompt).- Optional params (temp, etc). This abstracts all the LLM interaction into a single pipeline step. (4/16).
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Open the models file to see how we set up CustomerFeedback. Here, we have a struct with fields like Age, Income, etc. The key piece is the `profile_summary`. Also, notice we call `generate_summary()` to fill `profile_summary` with a concise snapshot of each record. (5/16)
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There are about 38K records, so we embed them in chunks to avoid rate limits. Each chunk is processed asynchronously, yielding (CustomerFeedback, Embedding) pairs. (8/16)
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For more examples of building Agents, Tools, and other AI Applications with Rig, visit the repo and find the examples directory. With Rig, you can build a variety of intelligent applications such as chatbots, data extractors, classifiers, etc. (12/13).
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Here is an example of what a generated summary might look like. This text is key for semantic similarity searches. (6/16)
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