Enterprise RAG Knowledge Hub
Production private knowledge base combining deep semantic embeddings, ultra-cheap intent routing, and state-of-the-art grounded answer generation with 40% cached token optimization.
Models in this stack
Query rewriting, reranking filter, and intent classification
Final grounded answer synthesis with prompt caching discount
Pinecone Standard
Managed serverless vector store
Production Deployment & FinOps Guidelines
Route 80% of standard intent/filtering requests to low-cost lightweight models, reserving frontier models only for complex reasoning.
Evaluate prompt caching for reusable system instructions and retrieval prefixes. Savings depend on vendor rates, cache-hit ratio, and request shape, and must be validated against billing data.
Configure secondary aggregator or alternative provider failovers to sustain uptime when primary endpoints hit rate limits.
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