Querit.ai

Querit is a real-time search and retrieval API built for LLMs and AI products.

[Querit.ai @QueritAi]

👉Meet Querit: Web Search Infrastructure for AI Agents！

As AI agents move from answering questions to taking action, they need fresh, structured knowledge from the real world.

🦾Powered by a 100B+ page web index, Querit transforms the open web into AI-ready context: searchable, grounded, and built for agent workflows.

👉See Querit in action.Try it！ → https://t.co/4TvFsHa2V7

#AIAgents #SearchAPI #RAG

[Querit.ai @QueritAi]

@dify_ai Love having you with us, see you at Search Afterhours 🙌

[Querit.ai @QueritAi]

@kiri49x86 Thanks for joining us remotely! Excited to have you with us 🙌

[Querit.ai @QueritAi]

We're hosting our first Querit Search Afterhours night @ San Francisco, for all founders & developers shipping AI products, building across AGI, AI agents, LLM applications, RAG, and Search APIs. Lightning talks & demos are given by Dify, CAMEL-AI, Continua, Model OS, and Atlas Cloud, plus case studies from builders running Querit in production. Free food, drinks, swag, and credits provided, with allocated networking time!

🎁 Perks and Benefits: Free 60,000 Querit Search & Contens API credits & 150h AMD GPU Cloud credits for every attendee

🕐 Aug 26th, 6:30–9:30 PM PDT · Mountain View, CA

📍Register: https://t.co/ZLSAnIFQmH

[Querit.ai @QueritAi]

Bay Area builders 👀

Querit Search Afterhours is happening tomorrow — lightning talks, demos, and conversations around AI agents, search & RAG.

🎟️ RSVP: https://t.co/l4wREzKMTM
📍 Mountain View

#Querit #Dify #CamelAI #Continua #ModelOS #AMD #AtlasCloud

[Querit.ai @QueritAi]

Search people 🤝 agent people 🤝 Bay Area builders

We’re getting everyone in one room for Querit Search Afterhours.

⚡ Lightning talks
🛠 Real builder cases
🍻 Drinks + open networking
👥 30+ people building AI in production

If you’re working on agents, RAG, MCP, LLM apps, or Search APIs — come hang out.

📍 Bay Area
👉 https://t.co/ZLSAnIFQmH

[Querit.ai @QueritAi]

Querit plugins are getting easier to plug in 👀

dsh-querit is now on npm and in the official Querit plugin repo — bringing Search + Contents into DeepSeek Harness with one command:

dsh plugin --profile web add dsh-querit

Querit plugins are already available across:
Pi @pidotdev ✅
OpenCode @opencode ✅
DeepSeek Harness @deepseek_ai ✅
More plugins, more ways to build with Querit 🚀
👉 https://t.co/N9mURtly0R

#QueritWhatsNew #deepseekharness #deepseek #opencode #Pi

[Querit.ai @QueritAi]

We love when the community beats us to it 👀

Huge shoutout to one of Querit’s core developers, Ferris @M_Capricorns, for bringing Querit into DeepSeek Harness — and building our official plugins repo too.

DeepSeek Harness × Querit:
👉 https://t.co/ow96bLDoaV

Querit Plugins:
👉 https://t.co/N9mURtm5Qp

Thanks for pushing the ecosystem forward 🚀
More builders and community-built integrations are always welcome.

#deepseekharness #QueritWhatsNew

[Querit.ai @QueritAi]

@deepseek_ai Love the “Everything is a Plugin” idea 🚀

Querit now powers both web_search and web_fetch in DeepSeek Harness — live web search via Search, plus clean page content via Contents.

Repo 👇
https://t.co/4zCIVo9cK5

[Querit.ai @QueritAi]

Querit × LangChain is live. 🔎📄

LangChain agents can now search the live web with Querit 🌐, then go deeper with our newly released Contents API 📚 — retrieving clean content from web pages, PDFs, papers, and long-form sources with less boilerplate and cleanup.

From search 🔎 to source context 📄, all within the LangChain workflow.

Try Querit through LangChain and claim exclusive credits 🚀
https://t.co/PIVhuwSneZ

[Querit.ai @QueritAi]

@YinsenW_ 感谢Yinsen老师分享🙌，欢迎大家多多试用👏，也期待收到更多使用反馈和建议 🍒

[Querit.ai @QueritAi]

Querit × Cherry Studio. 🍒

With the newly released Querit Contents API, Cherry Studio users can now go beyond web search and bring clean full-page content directly into their workflows.

[Yinsen @YinsenW_]

Querit搜索 + 内容功能现已在 Cherry Studio 中提供。🍒

🔎Querit 为 agent 带来了全新的网络搜索功能以及整洁、结构化的网络内容。

📄借助新近发布的 Querit 内容 API，Cherry Studio 用户现在能够以更少的冗余代码和清理工作从网页、PDF 文件、论文以及长篇资料源中提取整洁的全页内容
https://t.co/fyL5CUJNEe

[Querit.ai @QueritAi]

We love when the community beats us to it 👀

Huge shoutout to one of Querit’s core developers, Ferris @M_Capricorns, for bringing Querit into DeepSeek Harness — and building our official plugins repo too.

DeepSeek Harness × Querit:
👉 https://t.co/ow96bLDoaV

Querit Plugins:
👉 https://t.co/N9mURtm5Qp

Thanks for pushing the ecosystem forward 🚀
More builders and community-built integrations are always welcome.

#deepseekharness #QueritWhatsNew

[Querit.ai @QueritAi]

Querit × RAGFlow gets a Contents upgrade. 📄

The newly released Contents API now extends our existing Search integration with clean full-page content for RAG workflows.

[InfiniFlow @infiniflowai]

📄Querit Contents is now available in RAGFlow.

Building on the existing Search integration, RAGFlow users can now retrieve clean full-page content from web pages, PDFs, and papers for RAG workflows.

Sign up through RAGFlow to claim exclusive Querit credits.

[Querit.ai @QueritAi]

@dify_ai Search is in. Contents is in. Now let’s see what Dify builders do with it 👀🚀

[Querit.ai @QueritAi]

Querit × Dify is live. ⚡

Fresh web search + clean, structured full-page content, now available directly inside Dify agents and workflows.

[Dify @dify_ai]

@QueritAi is now available on Dify. 🔎📄

Querit brings real-time web search and structured content extraction to your AI agents. With Querit Search, agents get live results from a global index. With Querit Contents, they turn web pages, PDFs, and papers into clean Markdown, HTML, or text, with less boilerplate and cleanup.

Install through Dify Marketplace and claim exclusive Querit credits.
🔗 https://t.co/8DSoWdN2uv

#Dify #Querit #AIAgents #WebSearch #RAG

[Querit.ai @QueritAi]

Querit FAQs just got an update 👀

We’ve added clearer answers to some of the questions we hear most — from product differences and latency to freshness, ranking, concurrency, and content coverage.

Still missing something? Drop your question in the replies. We’re listening.
https://t.co/XOYpaBPopK

#QueritWhatsNew

[Querit.ai @QueritAi]

Querit CLI is live ⚡
Search the web straight from your terminal or scripts, with filters, JSON output, and more.
Install via PyPI: https://t.co/81pEi0OQWH

Querit MCP is now live on our docs too 👀
https://t.co/b2xWWFucCA

#QueritWhatsNew

[Querit.ai @QueritAi]

Try Querit Contents API from the Dashboard.

🎁 Sign up before September 1 and get a bonus of 50,000 pages.

Follow the video to get started.
https://t.co/fDg2idkXyH

[Querit.ai @QueritAi]

Querit MCP is now open source 👀

More coming Monday with the official website launch. 🚀

Give us a star if you want to follow along ⭐
https://t.co/ovN9yP6nVF

#QueritWhatsNew