Pinecone Development Services
Pinecone is a managed vector database for AI applications: it stores embeddings and returns the closest matches for a query, the retrieval step in a RAG system. SpeedMVPs uses Pinecone for RAG, semantic search and recommendation systems, and integrates it with your existing applications, databases and APIs, with most projects shipping in 2-3 weeks.
Build AI applications with Pinecone vector database. RAG systems, semantic search, and recommendation engines with managed vector infrastructure.
Pinecone is a managed vector database for AI applications. SpeedMVPs uses Pinecone for RAG, semantic search, and recommendation systems.
15+
Engineers on the team
18+
MVPs delivered
2-3
Weeks to Ship
Build with Pinecone
1
Why We Use It
- Pinecone is a managed vector database technology: it stores embeddings and returns the closest matches for a query, the retrieval step in a RAG system
- Production-proven in enterprise and startup environments
- Strong community and ecosystem support
- Excellent developer experience and documentation
2
What We Build
- AI-powered web and mobile applications
- Enterprise AI platforms and tools
- Data processing and automation pipelines
- Custom integrations and API development
3
Our Approach
- Production-grade architecture from day one
- Best practices for security and performance
- Comprehensive testing and documentation
- Post-launch support and optimization
Pinecone FAQ
Pinecone is a strong choice for vector database needs. We evaluate whether it fits your specific requirements during our scoping sprint.
Most projects using this technology ship in 2-3 weeks. Complex implementations may take 4-6 weeks.
Yes. We regularly integrate Pinecone with existing applications, databases, APIs, and infrastructure.
