Semantic Search and RAG Powered by Pinecone
Pinecone stores your documents as semantic embeddings, enabling AI to search by meaning — not just keywords — and answer questions grounded in your actual data.
How we use Pinecone
Pinecone is the leading managed vector database for AI applications. It stores document embeddings and performs millisecond-latency semantic similarity search — the backbone of any RAG (Retrieval-Augmented Generation) system. We use Pinecone for client knowledge bases, product catalogues, and document libraries that need to be searchable by meaning, not just keywords.
What this means for your project
- ✦Production-ready Pinecone integrations, not demos
- ✦Code you own — no black boxes
- ✦Engineers who have shipped real systems with this stack
- ✦Ongoing support and updates after launch
What we build with Pinecone
Internal knowledge base AI
Index your Notion, Confluence, or Google Drive documents in Pinecone — your AI assistant finds the right page even if the exact keywords are not there.
Customer support RAG
Index your product documentation, FAQs, and policy documents so your support AI retrieves accurate answers from your own content.
E-commerce semantic search
Customers search by description ("blue dress for a beach wedding") and find matching products — even without matching the catalogue's exact keywords.
Legal and contract Q&A
Index contracts and legal documents for semantic Q&A — "which contracts have a 30-day termination clause?" finds the right documents by meaning.
Common questions
Do you always use Pinecone or are there alternatives?+
Pinecone is our default for production at scale. For smaller systems (under 100K documents) or where cost is a constraint, we use pgvector (PostgreSQL extension) — it adds vector search to your existing database with no additional service.
How much does Pinecone cost?+
Pinecone has a generous free tier and scales from ~$70/month for a standard pod. For most business RAG applications, the cost is well under $200/month.
Related technologies
Want to build with Pinecone?
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