Ralabs

2️⃣ 0️⃣ 2️⃣ 4️⃣ at Ralabs: A Year to Remember This year, we welcomed incredible new talents, achieved ambitious goals with our clients, tackled challenges, and did what we do best – delivering the best tech solutions. Thank you to our clients and partners for trusting us and our amazing team for your dedication. Together, we made 2024 a year of progress, innovation, and success. Here’s to even greater achievements in 2025! 🥂

12 editions of CEO Newsletters from Andrii Yasynyshyn in 2024! 🔥 Each contains insights, coding tools, news, book recommendations. And finally, the last one of this year is here! This month, Andrew is sharing: ◼️ Ralabs news and updates ◼️ Insights from our latest webinar on RAG ◼️ Must-know coding tips & tools for devs ◼️ Book recommendation & personal thoughts 📖 Subscribe and read the full edition here: bit.ly/4gxG2aR

🎄 Wishing you a very Merry Christmas! May this holiday fill your homes with warmth, joy, and family comfort. We wish you peace, prosperity, and new achievements in the year ahead! With warm regards, Ralabs Team 💛

New Clutch Review! 🤝 Ralabs recently partnered with a media company to develop a series of media platforms. The project involved comprehensive R&D, implementing load balancing, SEO best practices, and creating an intuitive user experience. 💬 Our client said: "𝙏𝙝𝙚𝙮 𝙙𝙞𝙙 𝙩𝙝𝙚𝙞𝙧 𝙟𝙤𝙗 𝙤𝙣 𝙩𝙞𝙢𝙚, 𝙣𝙤 𝙢𝙖𝙩𝙩𝙚𝙧 𝙬𝙝𝙖𝙩 𝙝𝙖𝙥𝙥𝙚𝙣𝙚𝙙 𝙖𝙧𝙤𝙪𝙣𝙙 𝙩𝙝𝙚𝙢." Proud of the team’s dedication! Check out our reviews on Clutch: clutch.co/profile/ralabs

Retrieval-Augmented Generation (RAG) is transforming how businesses interact with data, enabling real-time retrieval and intelligent, context-aware responses. Its applications – from customer support to enterprise search – showcase its potential to revolutionize operations across industries: 👉 in healthcare, it accesses patient records and creates accurate billing summaries; 👉 in real estate, it provides localized insights for location-specific inquiries; 👉 in enterprise search, it helps employees quickly find relevant documents without technical expertise. ⚙️ How RAG works 𝗨𝘀𝗲𝗿 𝗤𝘂𝗲𝗿𝘆: The user inputs a natural language query ➡️ 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹: The system uses NLU to process the query, retrieves relevant data via indexing and similarity search ➡️ 𝗗𝗮𝘁𝗮 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴: Retrieved data is transformed into vector embeddings for semantic understanding by the LLM ➡️ 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗲 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻: The LLM combines the retrieved data with its knowledge to generate a coherent response. Discover more about RAG in our latest article: bit.ly/4iAng43

💼 Case study: Optimising Patient Care with AI 👨💻 Client: A healthcare tech startup modernizing patient data retrieval by replacing fax-based systems with an innovative solution, enabling providers to access accurate data and deliver better care. ⚙️ Challenge: The project involved transitioning to Django to accelerate development and integrating AI to enhance data retrieval, analysis, and workflow efficiency. A key hurdle was integrating Mixpanel without sufficient documentation, requiring an empirical approach to enable robust user statistics tracking. ✅ Solution: We enhanced the application's functionality and efficiency through targeted projects, addressing unique technical challenges with a deep understanding of the architecture and industry requirements. Swipe to know more or read the full case study on our website: bit.ly/4fbHFK6

$27,000 donated to support Ukraine in 2024 🇺🇦 At Ralabs, social responsibility is one of our core values. This year, we contributed ≈$27,000 to support Ukraine through various initiatives, including organized events, volunteer efforts, and our volunteer working days, where all income is dedicated to charity. Our responsibility is to support the brave men and women fighting for our freedom. A heartfelt thank you to everyone at Ralabs who contributed their time, effort, and resources to make this possible! 💙 🤝

We're Hiring! Join our team at Ralabs and help build impactful tech solutions that make a difference. Check out our open positions 👇 Middle/Senior Backend Engineer (Go/PHP) ➡️ bit.ly/4gkOOJ2 Recruiter ➡️ bit.ly/48EG3Ha Senior UI/UX Designer ➡️ bit.ly/4fcwl12 Middle/Senior Frontend Engineer ➡️ bit.ly/4ePdzft Lead Generation Specialist ➡️ bit.ly/4eLz0xY Lead (Go+Python) Engineer ➡️ bit.ly/3TRILCM Senior Full-stack (React or Vue+Python) Engineer ➡️ bit.ly/3X4V8w5 🔥 Send your CV to olena.kurtyak@ralabs.org or drop a message to our recruiter via LinkedIn: Olena Kovalyk

Is there anything cuter than the moment when colleagues share pictures of their pets in the work chat? Of course not! 😉 Meet our furry companions and enjoy a glimpse into Ralabs Pet Day 👇

This Thanksgiving, we want to say a big thank you to everyone who’s been part of our journey – our clients, partners, and team. We’re grateful to work with such inspiring people and organizations who share our vision for growth and innovation 🤝 Wishing you the happiness of good friends, the joy of a happy family, and the wonder of the holiday season. Have a memorable Thanksgiving! Warm wishes, Ralabs Team ❤️