MongoDB’s Post

Join our upcoming webinar to discover how MongoDB Atlas and Cohere’s enterprise-optimized models work together to make gen AI work for your business. 💡 Reserve your spot today! ⬇️ https://lnkd.in/gsAq9Ycz

RAG can severely improve the accuracy and quality of the responses generated by LLMs. With Gradient’s newly announced Accelerator Block for RAG, we’re making it possible to set up RAG in seconds - removing friction and complexity. Best of all, it’s powered by best-of-breed technologies like LlamaIndex and MongoDB. By Gradient https://lnkd.in/gS2Y7GVU

🔍 Seeking the best vector databases for your use case? MongoDB Atlas was named one of the top 16 Vector Databases for 2024. 💡 Learn why: https://lnkd.in/dEhbVDru 🚀 MongoDB Professional Service released a new course, DA660 - AI Basics & Vector Search, to support you GenAI initiative.

Thrilled to add ⚡️ ASYNC Redis `/chat/completion` calls -> 1s faster response times (+4 more updates 👇) ✨ *NEW* `batch_redis_requests` proxy hook -> 60ms faster response times - https://lnkd.in/dxiEcYKS 💪 support temperature on anthropic bedrock calls 🛠️ fix embedding usage dict/pydantic obj return val 🎇 *native* Fireworks AI support - https://lnkd.in/dAix_ac8

🚀 From city to city, the MongoDB GenAI Hackathons have been a whirlwind of innovation and camaraderie. I am grateful for the opportunity to meet so many inspiring developers and tech enthusiasts. 🎊 Our San Francisco event on April 20th was a great success, made possible by our amazing sponsors LlamaIndex, Fireworks AI, and Upstage. 🏆Congratulations to our winners who went above and beyond, showcasing exceptional innovation and mastery of technology. 👏 🦙Best Use of LlamaIndex: Team CLAB for LlamaWorksDB Chat, an intelligent chatbot that enhances access to crucial information through a seamless conversational interface. 🎇Best Use of Fireworks AI: Team Legis Aware for LegisAware, which simplifies the vast legislative landscape into personalized, actionable insights, making civic engagement more accessible. ⚙️Best Use of Upstage Full-Stack LLM Components: Team Sage for their application that provides tailored nutritional information, helping individuals meet their dietary needs efficiently. 🍃Best Use of MongoDB Atlas Vector Search: Team averagejoe.ai for Ultimate Privacy Preserving RAG, a solution that ensures the confidentiality of sensitive data, crucial for sectors like medical, government, and defense. 🎬 Here’s a video highlight from the hackathon, showcasing the great energy and innovative projects. A big thanks to Jakub Neander and Maciej Bronikowski for their fantastic video work and for sharing this with all of us! #MongoDB #MongoDBAtlas #VectorSearch #GenAI #LoveYourDevelopers

In 2024, the rise of #GenAI applications has brought increased attention to the concept of "Embeddings," with new models emerging regularly. 💡 This MongoDB tutorial addresses the fundamentals of embeddings, their relevance in #RAG applications, strategies for selecting suitable embedding models, and methods for evaluating their effectiveness. ⬇️ https://lnkd.in/gscmev8U

In 2024, the rise of #GenAI applications has brought increased attention to the concept of "Embeddings," with new models emerging regularly. 💡 This MongoDB tutorial addresses the fundamentals of embeddings, their relevance in #RAG applications, strategies for selecting suitable embedding models, and methods for evaluating their effectiveness. ⬇️ https://lnkd.in/djTe3KG2

In 2024, the rise of #GenAI applications has brought increased attention to the concept of "Embeddings," with new models emerging regularly. 💡 This MongoDB tutorial addresses the fundamentals of embeddings, their relevance in #RAG applications, strategies for selecting suitable embedding models, and methods for evaluating their effectiveness. ⬇️ https://lnkd.in/g4pury5y

In 2024, the rise of #GenAI applications has brought increased attention to the concept of "Embeddings," with new models emerging regularly. 💡 This MongoDB tutorial addresses the fundamentals of embeddings, their relevance in #RAG applications, strategies for selecting suitable embedding models, and methods for evaluating their effectiveness. ⬇️ https://lnkd.in/eg5AvnXx

In 2024, the rise of #GenAI applications has brought increased attention to the concept of "Embeddings," with new models emerging regularly. 💡 This MongoDB tutorial addresses the fundamentals of embeddings, their relevance in #RAG applications, strategies for selecting suitable embedding models, and methods for evaluating their effectiveness. ⬇️ https://lnkd.in/gkDU2v2x