Engineers spent weeks manually sharding. A serverless RAG pipeline now auto-scales 100 million vectors.
A platform enabling coaches and creators to turn unstructured content like books and podcasts into interactive AI agents, scaling to support thousands of simultaneous conversations.
Variable loads during live events caused latency spikes that jeopardized the one-second response target needed for natural conversation. The...
“The ability to scale quickly, without re-architecting or running into cost or performance cliffs, has been huge for us. Pinecone just works, which lets us grow without hesitation.”
AI cloning platform to create digital twins for experts and creators.
Managed vector database for AI search, retrieval, and recommendation systems.
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Managing storage consumed engineering bandwidth. Offloading infrastructure let the team focus on algorithms and reach #1 RAG accuracy.
Cached prompts failed dynamic voice chats. Rebuilding context every turn via GPT-5.1 cut memory misses 30% and lifted retention 20%.
Maintenance held back their AI assistant. Now, hybrid search queries clinical studies and chat logs with precision.
Engineers manually correlated alerts across systems. AI agents now diagnose issues and suggest fixes, cutting recovery time by 35%.
Minor edits required days of crew coordination. Now, staff use avatars to modify dialogue and translate languages instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.