Let agents run semantic search across your Pinecone
QX embeds, queries, reranks and maintains your vector indexes—so your team gets instant, grounded answers from your own data without writing retrieval code.
Stop wiring up retrieval pipelines, babysitting indexes, and writing one-off search scripts. Hand it to an agent.
Semantic search on tap
Ask a question in plain English and an agent embeds it, queries the right index and namespace, reranks the hits, and hands back the passages that actually matter.
Knowledge that stays current
New documents, tickets, or records get chunked, embedded and upserted into the right namespace automatically—so your vector store mirrors reality without a nightly cron job to maintain.
Indexes that manage themselves
An agent watches index stats, scales pods when fullness creeps up, snapshots backups before risky changes, and cleans up stale namespaces—keeping retrieval fast and your bill predictable.
Pinecone
Real workflows, built for your team
Build complex workflows in minutes that chain Pinecone together with the rest of your stack. Trigger them on specific events, on schedule, or on demand.
Customer Support: Auto-answer tickets from your knowledge base
New ticket arrives
Triggered in Zendesk
Embed the question
Agent step
Query the support index
in Pinecone
Rerank top results
in Pinecone
Draft a grounded reply
Agent step
Post reply to customer
in Zendesk
QX agents can query your vectors, embed new content, manage indexes—and a lot more
+ 22 more actions
About Pinecone
Pinecone is the managed vector database that powers semantic search and retrieval for thousands of AI applications. Its serverless architecture, hosted embedding and reranking models, and rich API make it the default home for production-grade vector workloads—built to scale from a prototype to billions of embeddings without infrastructure work.
About QX Labs
QX is an AI agent platform that helps you build, run and scale AI across your team in a few clicks. Create agents that connect to your data and 1,000+ apps, building institutional memory that gets sharper every run. Then delegate tasks to them from where you already work—Slack, Teams, WhatsApp or email.
See Pinecone working inside your stack
Want an AI co-worker that runs retrieval and keeps your vector store in shape? Book a demo call to discuss your use cases, or get started for free.
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