AI/ML
Pinecone
Managed vector database for AI-powered semantic search.
Pinecone stores and queries vector embeddings at scale. We use it for RAG applications where documents need to be semantically searched and retrieved for LLM context.
Use Cases
What we use Pinecone for
Semantic Search
RAG Applications
Recommendation Systems
Why This Tool
Why we choose Pinecone
1
Purpose-built for vector similarity search
2
Fully managed — no infrastructure to maintain
3
Sub-second query times even with millions of vectors
4
Metadata filtering for hybrid search
5
Serverless pricing model for cost efficiency
Services
Services using Pinecone
Ready to build with Pinecone?
Let's discuss how Pinecone fits into your project architecture.