Quivr (YC W24)

🧪💚 Thrilled to welcome the first GenAI event in our fancy new office (with limited seats (30 places) 🔥 3 amazing subjects: 1️⃣ Semantic Search Powered by WASM and WebGPU 🔍⚙️ Speaker: ahmed amine DIRHOUSSI – AI System Engineer, Quivr (YC W24) Learn how WebAssembly (WASM) and WebGPU combine to supercharge the performance of semantic search systems. Amine will showcase real-world applications and provide tips on maximizing search speed and efficiency in AI solutions. ⚡ 2️⃣ Embedding Adapters for Improved Retrieval in RAG Systems 📚🚀 Speaker: Pierre-Louis Biojout – CTO, phospho (YC W24) Discover how embedding adapters enhance retrieval accuracy in retrieval-augmented generation (RAG) systems. Pierre-Louis will share techniques to optimize your AI setups for better and faster results. 🔥 3️⃣ TBD 🔮 Speaker: Yann Leger – CEO, Koyeb Stay tuned for details on this exciting session from Yann Leger, CEO of Koyeb. Expect insights on cloud AI development and the latest trends shaping the industry. 🌐 👇Link in the comment to register:

Next week in Paris we are organizing a “deep-tech” GenAI event with limited seats (30 places) 🔥 Only for techs! 👇 3 amazing subjects: 1️⃣ Semantic Search Powered by WASM and WebGPU 🔍⚙️ Speaker: ahmed amine DIRHOUSSI – AI System Engineer, Quivr (YC W24) Learn how WebAssembly (WASM) and WebGPU combine to supercharge the performance of semantic search systems. Amine will showcase real-world applications and provide tips on maximizing search speed and efficiency in AI solutions. ⚡ 2️⃣ Embedding Adapters for Improved Retrieval in RAG Systems 📚🚀 Speaker: Pierre-Louis Biojout – CTO, phospho (YC W24) Discover how embedding adapters enhance retrieval accuracy in retrieval-augmented generation (RAG) systems. Pierre-Louis will share techniques to optimize your AI setups for better and faster results. 🔥 3️⃣ TBD 🔮 Speaker: Yann Leger – CEO, Koyeb Stay tuned for details on this exciting session from Yann Leger, CEO of Koyeb. Expect insights on cloud AI development and the latest trends shaping the industry. 🌐 https://lu.ma/eal4c678

📣 Ogmentia and Quivr partnership announcement Ogmentia is proud to announce its new partnership with the AI software editor Quivr (YC W24), www.quivr.com, as Authorized Partner. Quivr is an open-source RAG framework designed to build AI-powered search applications across all your documents, tools, and databases. The Quivr’s AI solution enables the development of chatbot and conversational business applications, connected to enterprise data and requiring a high level of security. The open-source nature of Quivr software allows for the development of specific applications, fully tailored to your business needs, workflows, and data. ℹ A differentiating factor of the Quivr solution is that it can be installed on-premise (self-hosted on your own data-center) and connected to any LLM that runs locally. 🛡 As a result, it is possible to build an entirely private ChatGPT alternative that can connect to your internal data sources, in a 100% secure way. 👍 This new partnership will allow Ogmentia to engage with projects and clients dealing with highly confidential data, such as sensitive personal data, critical financial information or healthcare data. ➡ More info: https://lnkd.in/edSTP_dh

Quivr (YC W24) is expanding its team! We are looking for a Frontend Intern to help us improve our product🔥 We just finished Y Combinator! 👇 TL;DR: Quivr is an open-source RAG framework with 36k+ Github Stars, backed by Y Combinator. Here is a sneak peek of what we are looking for: 1️⃣ Frontend Engineer Intern We've got a beautiful UI that we want to improve by embedding AI into it, making it responsive and resolving one of the biggest issue of our GenAI time: How to make a great chat-based app. You'll be working closely with Antoine Dewez, co-founder and CPO of Quivr. We are looking for someone that: - Has experience with NextJS. - Lives in Paris - Speaks French & English - Loves Open source - Available now if you are interested, drop us an email: founders(at)quivr(dot)app And if you are not, tag a friend or like this post to help someone find it!

Quivr (YC W24) just open-sourced a way to efficiently parse PDFs for optimal LLM Ingestion! Making RAG applications better! 🔥 We used unstructured.io under the hood, powered by some algorithms and LLMs to clean the files and improve it. For example, we use OpenAI GPT4o for improving the tables that are extracted - you could use any model, even local ones. Link for the open-source project in the comments 👇

Quivr (YC W24) is recruiting not 1, not 2 but 3 Founding Engineers! 🔥 We are coming back from Y Combinator next week and are looking for our founding team! 👇 TL;DR: Quivr is an open-source RAG framework with 31k+ Github Stars, backed by Y Combinator. Here is a sneak peek of what we are looking for: 1️⃣ Head of AI We’ve got some big algorithms to cook up for our clients and the community! We need to make Quivr a standard in the RAG-powered agentic framework space. It will involve some IPO, ETL, retrieval, embedding, maths & logics to cook up some good algorithms. 2️⃣ Backend Engineer Quivr’s API and backend architecture need to be modular, robust and fast. We need to make this into a framework that everyone can use and run in a few lines of codes. Think of Quivr as the LangChain for RAG-powered agents in production with a sleek UI. 3️⃣ AI Engineer RAG and agents! We’ve got some tricky rag-powered agents to implement using Quivr. Combine Ingestion, Embedding, Vectors, Fine-tuning to implement powerful agents. You'll be working closely with Antoine Dewez, Brian Laleye & I! ❗ We are hiring in Paris, France ❗ English speakers welcomed! Remote-friendly 🏠 And of course, you need to be an open-source enthusiast! We have a fully open-source stack Supabase, PostHog, LangChain, FastAPI... if you are interested, drop us an email: founders(at)quivr(dot)app And if you are not, tag a friend or like this post so your friends can see it!

I'm very proud to announce our latest feature: Chat with your Database 🔥 Allowing anyone to easily chat with a database! Here is how you can use it: TL;DR: Quivr (YC W24) we allow anyone to easily connect a database so that you can chat with it. 1️⃣ Ask one of your devs to create a brain and connect it to your database 2️⃣ He can then share it to you 3️⃣ Ask any questions you want on your database This allows you to easily ask any questions on database, this used to be very complicated and needed to create an API, a frontend and any changes would take days. Now you can do it in less than 30 seconds (proof in video 🤣) And the best about it ?! It is open-source ! Link in the comment.

I will develop for 10 companies a production ready GenAI assistant for your business case for FREE using Quivr (YC W24) 🔥 💵 What do you need ? Chat with PDF, Excels, Database or agents 👇 TL;DR: Quivr (YC W24) is an open-source RAG framework that makes it easy to create and deploy "Second brains" that solve issues you encounter in your company. 1️⃣ I will develop a custom brain on Quivr that will perform your use case 2️⃣ I will deploy it in production either on Quivr.app or on your custom instance 3️⃣ You can own the code and no data goes outside of your infrastructure thanks to LangChain, Supabase, Mistral AI. We can deploy Quivr to any cloud provider and no data leaves your datacenter. If you are interested, please comment and connect with me so I can contact you ! 🔥 Limited to 10 companies !

Last year was the time of POC, this year it is the time to go to Production with GenAI. You can now create & deploy custom agents in minutes with Quivr (YC W24) 🔥 Here is how: TL;DR: You can create custom agents specific to your business use case in minutes with Quivr and deploy it to production in a robust framework. 1️⃣ Download Quivr from the open-source repository (link in the comments) 2️⃣ Create your own agent using LangChain 3️⃣ Deploy it to production with Quivr (YC W24) Here is a small video that shows how you can do it 👇 We implemented custom brains such as Notion, Excel, SQL that allows your users to talk to their data wherever they are. Have fun! The code is open-source so don't hesitate to improve it 😘

I would have never thought that 9 months ago when we started working on Quivr (YC W24) that we would be recognised as one of the best projects from Andreessen Horowitz in AI 🔥