DataStax’s Post

The basics of RAG architecture seem simple, but scaling it for enterprise use is tough. 🧗🏼 Learn how DataStax can help enterprises implement RAG effectively in this piece by VentureBeat👇🏼 https://ow.ly/ABt350SuWxf #DataStax #GenAI

The basics of RAG architecture seem simple, but scaling it for enterprise use is tough. 🧗🏼 Learn how DataStax can help enterprises implement RAG effectively in this piece by VentureBeat👇🏼 https://ow.ly/ieJS50SyMwb #DataStax #GenAI

The basics of RAG architecture seem simple, but scaling it for enterprise use is tough. 🧗🏼 Learn how DataStax can help enterprises implement RAG effectively in this piece by VentureBeat👇🏼 https://ow.ly/mfjI50SyMJr #DataStax #GenAI

The basics of RAG architecture seem simple, but scaling it for enterprise use is tough. 🧗🏼 Learn how DataStax can help enterprises implement RAG effectively in this piece by VentureBeat👇🏼 https://ow.ly/QNP950SxhzS #DataStax #GenAI

The basics of RAG architecture seem simple, but scaling it for enterprise use is tough. 🧗🏼 Learn how DataStax can help enterprises implement RAG effectively in this piece by VentureBeat👇🏼 https://ow.ly/K5PR50SvmqF #DataStax #GenAI

The basics of RAG architecture seem simple, but scaling it for enterprise use is tough. 🧗🏼 Learn how DataStax can help enterprises implement RAG effectively in this piece by VentureBeat👇🏼 https://ow.ly/CZM450Sy5ib #DataStax #GenAI

The basics of RAG architecture seem simple, but scaling it for enterprise use is tough. 🧗🏼 Learn how DataStax can help enterprises implement RAG effectively in this piece by VentureBeat👇🏼 https://ow.ly/wgLh50Sv8Ie #DataStax #GenAI

The basics of RAG architecture seem simple, but scaling it for enterprise use is tough. 🧗🏼 Learn how DataStax can help enterprises implement RAG effectively in this piece by VentureBeat👇🏼 https://ow.ly/xGej50SvljC #DataStax #GenAI

ICYMI: we recently announced support for searching vector embeddings with exact nearest neighbor (KNN) search in preview. Learn how vector search can enhance gen AI apps and how Spanner’s underlying architecture supports extremely large-scale vector search deployments:

For this week's article, we are taking a step back from evaluation to discuss one of the many architectural choices made during the development of production features for Confident. Since over 90% of our users utilize some form of vector database for their LLM applications, we hope this discussion will provide an alternative, particularly when a standalone vector database solution is not necessary. Read to learn why we ditched Pinecone and opted for pgvector instead: https://lnkd.in/g9WJ3Rjp Also credits to Supabase for providing the essential benchmark data that guided our decision-making process. #pgvector #vectordatabase #llm #rag #genai #ai #llmops #postgresql #pinecone #embeddings #startups #opensource