"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."

"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/"

"Simple API, easy to use. "

"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."

"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."

"Pinecone's serverless vector database is essential for our WebAssistants. It delivers incredibly relevant vector search results at an unbeatable price point, making it an essential tool in our AI toolkit. "

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

"We use pinecone for our vector storage and they have been an outstanding partner."

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

"We used pine cone to build our POC"

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

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

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

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

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

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

"Used Prinecone to store embedding of the chatbot and use to later refer it"

"Pinecone can quickly search for similar data points in our database. This makes it ideal for semantic search, similarity search for images, recommendation systems and record matching."