DataStax has partnered with LangChainAI to simplify the implementation of generative AI applications into production. The partnership aims to make it easier for developers to put Gen AI applications into production. DataStax has introduced RAGStack, a ready-made Retrieval Augmented Generation solution that enables generative AI models to gain additional context from third-party data. The solution simplifies the implementation of RAG and makes it simple and streamlined. RAG, or Retrieval Augmented Generation, allows chatbots to be trained on custom data. DataStax's RAGStack launch has been covered by various media outlets, including ComputerWeekly, SiliconANGLE, and Dzone. The launch aims to simplify Retrieval Augmented Generation for AI developers. RAGStack provides an out-of-the-box solution for enterprises building generative AI applications.
RAG Retrieval-Augmented Generation = an #AI framework for retrieving facts & context from an external #KnowledgeBase to ground large language models #LLMs on the most accurate up-to-date information and to give users insight into the #GenerativeAI process: https://t.co/I2W5d5BLhJ https://t.co/AflYdijZIJ
DataStax Launches RAGStack, an Out-of-the-box Retrieval Augment Generation Solution, to Simplify Rag Implementations for Enterprises Building Generative AI Applications https://t.co/ESGl1hOtIR #AiThority #News #informationtechnology #machinelearning
With RAGStack, DataStax enables generative AI models to gain additional context from third-party data. Read about our latest launch via @SiliconAngle. #DataStax #GenAI #VectorDB https://t.co/kw4mMCKatw
Check out this @Dzone piece to see how a developer infused Shopify's product recommendation application with vector search and Gen AI. #DataStax #AIApplication #VectorDatabase https://t.co/hoIgJ6IPgJ
DataStax Launches RAGStack to Simplify Retrieval Augmented Generation for AI Developers https://t.co/LKw0jYydF8 @DataStax #datanami #TCIwire
MyPOV: With @RAGStack, @DataStax enables #generativeAI models to gain additional context from third-party data https://t.co/205VCDi0kl @SiliconANGLE @Mike_Wheatley “Retrieval augmented generation is one of the ways in which we can provide LLMs with.” - @AndyThurai @constellationr
Chatbots trained on custom data? #Retrieval augmented generation makes it possible! ✔️ Check out our website to learn more about #RAG: https://t.co/DYBMOCqvDP #GenerativeAI #Chatbots #NLP https://t.co/cMEvQ6vchH
With RAGStack, DataStax enables generative AI models to gain additional context from third-party data https://t.co/7HcsjdUJ9M
📣 Production-ready RAG! Introducing RAGStack: a ready-made Retrieval Augmented Generation solution that makes implementing RAG simple and streamlined. Learn more: https://t.co/T1sqmR4fjw #RAG #GenAI #LangChain
⛓ We're linking up with @LangChainAI to make putting Gen AI applications into production easier for developers. Learn more via @ABridgwater in @ComputerWeekly: https://t.co/LsRZFbMikj #DataStax #LangChain #VectorStore https://t.co/3h1JsyE4uP