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over the weekend i built and shipped Sentra for our docs. we use Mintlify for documentation. the built-in assistant kept running into context issues. wrong answers, missing context, no citations. so we extended Sentra's capability to the docs site directly. now when you're reading Dodo Payments docs, you can...

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Ayush Agarwal

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18,001 Aufrufe • vor 1 Monat •via X (Twitter)

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39,732 Aufrufe • vor 10 Tagen

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11,574 Aufrufe • vor 6 Monaten

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forloop

226,054 Aufrufe • vor 5 Monaten

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Santiago

255,532 Aufrufe • vor 1 Jahr

The reason your AI gives generic answers isn't the model. It's that your company's knowledge lives in 12 different tools and your agent can't see any of it. So here's how to build a context database your agents can actually use: 1) Pull it in: - Slack, email, meetings, docs, tickets - Auto-collected on a schedule into one place. 2) Clean it up. - An agent files what matters and drops the noise, so your brain doesn't bloat. 3) Store it as memory. - Folders of files your agents read from and write back to as they learn. 4) Point your agents at it. - Now they draft, build, and ship with full context instead of guessing. Same model. Same agent. The difference is whether it can understand your company or not. Build the database once. Everything downstream gets smarter.
8:17

The reason your AI gives generic answers isn't the model. It's that your company's knowledge lives in 12 different tools and your agent can't see any of it. So here's how to build a context database your agents can actually use: 1) Pull it in: - Slack, email, meetings, docs, tickets - Auto-collected on a schedule into one place. 2) Clean it up. - An agent files what matters and drops the noise, so your brain doesn't bloat. 3) Store it as memory. - Folders of files your agents read from and write back to as they learn. 4) Point your agents at it. - Now they draft, build, and ship with full context instead of guessing. Same model. Same agent. The difference is whether it can understand your company or not. Build the database once. Everything downstream gets smarter.

The Startup Ideas Podcast (SIP) 🧃

13,598 Aufrufe • vor 1 Monat

Verba is an open source Retrieval Augmented Generation (RAG) application that performs RAG on your own data. To showcase its capabilities, we've customized it as an Airbnb chatbot using Airbnb’s customer documentation. How it works: • Ask any questions, related to your booking, policies, or anything related to your Airbnb experience. • Get relevant, human-like responses: Verba provides natural and informative answers. • Access original sources: One of the standout features of RAG is its ability to directly indicate the sources it used to generate each response. Under the hood, Verba uses a RAG pipeline to deliver these exceptional results. Your query is transformed into a numerical representation (vector) and be used to search through our vector database for the most similar context using Hybrid Search. The most relevant context is then combined with your original question and fed into a powerful large language model (LLM). The LLM will then use all of that information to generate a conversational response. Et voilà! 💫 Try Verba: Verba on GitHub: Learn more in our video:
0:43

Verba is an open source Retrieval Augmented Generation (RAG) application that performs RAG on your own data. To showcase its capabilities, we've customized it as an Airbnb chatbot using Airbnb’s customer documentation. How it works: • Ask any questions, related to your booking, policies, or anything related to your Airbnb experience. • Get relevant, human-like responses: Verba provides natural and informative answers. • Access original sources: One of the standout features of RAG is its ability to directly indicate the sources it used to generate each response. Under the hood, Verba uses a RAG pipeline to deliver these exceptional results. Your query is transformed into a numerical representation (vector) and be used to search through our vector database for the most similar context using Hybrid Search. The most relevant context is then combined with your original question and fed into a powerful large language model (LLM). The LLM will then use all of that information to generate a conversational response. Et voilà! 💫 Try Verba: Verba on GitHub: Learn more in our video:

Femke Plantinga

120,565 Aufrufe • vor 2 Jahren

Radbro Webring has built something unlike anything before. Something we have been building for over a year. This is the real reason why we have been so quiet. This is the culmination of our experience and expertise in the areas of AI art, automation, and infrastructure. As many know, Radbro Webring was extremely early to the AI meta with the launch of Schizoposters in 2023. Throughout the years we have built out both our bot infrastructure as well as our generative AI capabilities. Behind the scenes we have also built custom AI models for a number of memecoin communities. As we built out our tech we did so knowing it would become the foundation of an Agents-as-a-Service platform that would allow users to generate high-quality art & content tailored to a plethora of use cases. This is the product we are announcing today: This platform enables users to train models & execute workflows via Discord/Twitter/Telegram-connected agents which can be controlled with natural language. More than a year of work and over a decade of artistic and technical experience went into building this product. The app is live at Go create some agents, train a model, and generate rad content. For now all new signups start with a free 50$ worth of credits for (login with a Webring NFT-holding ETH wallet to get 500$ worth of credits). The token for is $WEB. The token is being launched on SOL but the platform supports login and purchasing credits on ETH and SOL. The $WEB CA is 9nZ1a9EaJP5jBGH1oFvCS76FhXhAc4APHckkYa3eYcWY We have gone to extreme lengths to make sure that our bros & Webring supporters will have a stake in this launch. Allocation has been made for holders of our ETH collections as well as the Radcats collection on SOL. Airdrop will vest over 12 months and it will go through stages so please be patient. App: Docs: Discord: Streamflow (to claim airdrop on SOL): ETH Airdrop coming soon
1:15

Radbro Webring has built something unlike anything before. Something we have been building for over a year. This is the real reason why we have been so quiet. This is the culmination of our experience and expertise in the areas of AI art, automation, and infrastructure. As many know, Radbro Webring was extremely early to the AI meta with the launch of Schizoposters in 2023. Throughout the years we have built out both our bot infrastructure as well as our generative AI capabilities. Behind the scenes we have also built custom AI models for a number of memecoin communities. As we built out our tech we did so knowing it would become the foundation of an Agents-as-a-Service platform that would allow users to generate high-quality art & content tailored to a plethora of use cases. This is the product we are announcing today: This platform enables users to train models & execute workflows via Discord/Twitter/Telegram-connected agents which can be controlled with natural language. More than a year of work and over a decade of artistic and technical experience went into building this product. The app is live at Go create some agents, train a model, and generate rad content. For now all new signups start with a free 50$ worth of credits for (login with a Webring NFT-holding ETH wallet to get 500$ worth of credits). The token for is $WEB. The token is being launched on SOL but the platform supports login and purchasing credits on ETH and SOL. The $WEB CA is 9nZ1a9EaJP5jBGH1oFvCS76FhXhAc4APHckkYa3eYcWY We have gone to extreme lengths to make sure that our bros & Webring supporters will have a stake in this launch. Allocation has been made for holders of our ETH collections as well as the Radcats collection on SOL. Airdrop will vest over 12 months and it will go through stages so please be patient. App: Docs: Discord: Streamflow (to claim airdrop on SOL): ETH Airdrop coming soon

RADBRO WEBRING (OFFICIAL)

51,279 Aufrufe • vor 1 Jahr

We put 1000s of hours into building open-source camera glasses And now we're giving away everything we learned for free. Checkout this in-depth teardown of the Mentra Live smart glasses. As an OS company, our goal is to spread our OS. That goal encourages us to do crazy things, like build the world's best AI glasses for business and then show you how we made them... all in the name of spreading the OS. It also convinced us to make it 100% open source, so adoption is faster and easier. We're at risk of our competitors easily copypasting our code now... all in the name of spreading our OS. Now we've built the glasses for you, and we've taken the risk, and we've released an open SDK. Now your AI apps and agents can enter the real world on smart glasses. So now, what will you build?
13:19

We put 1000s of hours into building open-source camera glasses And now we're giving away everything we learned for free. Checkout this in-depth teardown of the Mentra Live smart glasses. As an OS company, our goal is to spread our OS. That goal encourages us to do crazy things, like build the world's best AI glasses for business and then show you how we made them... all in the name of spreading the OS. It also convinced us to make it 100% open source, so adoption is faster and easier. We're at risk of our competitors easily copypasting our code now... all in the name of spreading our OS. Now we've built the glasses for you, and we've taken the risk, and we've released an open SDK. Now your AI apps and agents can enter the real world on smart glasses. So now, what will you build?

cayden 凯登

20,494 Aufrufe • vor 2 Monaten