llm

Most teams buy Bedrock Provisioned Throughput too early or too late. This is the break-even math — by token volume, by model family, and by traffic shape — that we use in real FinOps engagements to decide which Bedrock pricing mode wins.

Compare fine-tuning and RAG (retrieval-augmented generation) for customizing LLMs on Bedrock. Cost, latency, and accuracy trade-offs.

Amazon Bedrock Knowledge Bases automate the RAG (Retrieval-Augmented Generation) pipeline — semantic search, chunking, embedding, and context injection into Claude or other foundation models. This guide covers setup, data ingestion, cost optimization, and production patterns.

Bedrock billing is not a single line item — it is a composition of model invocation costs, Knowledge Base retrieval, Agent orchestration, Guardrails evaluation, and cross-region inference profile routing. Each component has its own pricing model and its own set of cost traps.

One AWS contract, multiple foundation models. Learn how to procure, govern, and cost-optimize Meta Llama, Mistral, Cohere, and more via Amazon Bedrock Marketplace.