Pinecone

omi

“Pinecone, the real-time vector wizard—we'd be lost in embeddings without you.”

Human Behavior

“Vector search over UI snapshots pulled from replays”

Toffu AI

“The ability to query and rerank in one api call did it for me.”

Outlit AI

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

Brev.io

“Super easy to use and great results!”

ManyPI

“Helps us build a scalable and agentic AI infrastructure.”

Youkti

“Vector database for semantic search and RAG pipelines. 200K+ vectors for CDC documents, account context memory, and knowledge retrieval in milliseconds.”

Swytchcode

“Our primary RAG service provider”

Nerve

“Great vector search to power RAG pipelines”

VoltAgent

“Pinecone is battle-tested and scales smoothly. Great developer experience and fits perfectly for knowledge-heavy AI agents.”

Mnemosphere AI

“We use Pinecone as our Vector Database. Easy to get started, simple to use, always up and running.”

Kipps AI

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

Magic Patterns

“Our vector database used for RAG.”

AI Context Flow

“Big thanks to Pinecone for powering our early vector store setup! 🚀 Their reliable and developer-friendly platform helped us kickstart our AI features smoothly. Grateful for the support and excited to keep building! 💡”

Nia

“One of the best vector databases and easy to work with.”

Officely AI

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

“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/communit...”

Kick

“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.”

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

Shortwave

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

Strix

“From prototypes to prod, Pinecone is the gold standard for semantic search.”

Velpha

“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.”

“Pinecone is a very user friendly & performant vector database”