"Specifically built to handle vector embeddings, we have ensured high performance in MeetMinutes with Pinecone."

"Pinecone’s fast, scalable vector database powers iMerch.ai’s real-time, accurate product recommendations. Its simplicity and AI-focused design set it apart from other solutions."

"It scales like a dream and handles large datasets without breaking a sweat."

"A huge shout out to the Pinecone Engineering, Data Science, and Partner teams. We are so excited to be working with you and cleaning up the world's data mess with Fleak & Pinecone! Join us on 8/22 for Pinecone&Fleak workshop for reranking: https://www.pinecone.io/community/events/pinecone-fleakai-workshop/"

"We use Pinecone as the main RAG option, but also allow it to work with Bedrock AWS or Azure"

"We use a hybrid keyword and vector search to identify the best strategic and financial buyers for your business. Pinecone is fast and reliable."

"Used for vectorization and vector database, which helps in maintaining the meta properties efficiently."

"It is the most efficient and cost effective solution!"

"Pinecone's low-latency and scalability makes it the best vector database out there."

"Helped us get everything built quickly and in an agile way! We love it"

"We rely on Pinecone to enhance Lambda's AI-driven data insights and semantic search capabilities. Its scalable and efficient vector database allows us to manage and query large datasets with precision, enabling intelligent search and personalized recommendations."

"We needed a trusted vector database for our fine-tuning similarity workflows which deal with a high volume of transactions, documents and other user context. We chose Pinecone for its low-latency, scalability and competitive pricing."

"Our vector database used for RAG."

"Pinecone has made it super easily to store massive amounts of vectors and their new serverless tier is very cost effective."

"It's a great vector db that's fast, cost effective, and supports very large numbers of users efficiently."

"Handles our extra-large scale well with low latency"

"We used pine cone to build our POC"

"Simple API, easy to use. "

"Innovators in vector search, easy interoperability with Chat GPT embeddings, flexible scaling options, reliable uptime."

"Thanks for being there and standstill in handling vectors."