Recent posts tagged bedrock

🛡️ A Field Guide to Beating Amazon Bedrock Throttling > TL;DR > - Know your quota first: check Service Quotas, learn which limits are adjustable soft and which are not hard. > - Retry with exponential backoff and full jitter on throttling errors. T...

> TL;DR — I open-sourced an AWS sample that makes LLM document extraction learn from human corrections. Each QA fix is captured once and reused, so the pipeline gets more accurate and cheaper over time — with no retraining and no redeployment. Repo: ...

Your RAG copilot can't count — stop letting it try A user asked our document-search copilot a completely reasonable question: how many documents a specific person authored. The copilot answered with a number. Confidently. With a nice sentence aroun...

Building a multi-agent document-search copilot — Part 2: adaptive Hybrid, and a permission gate after the rank This is Part 2 of two. Part 1https://coderlegion.com/22631/ opened on a document-search copilot whose v1 produced muddy results — two ret...

Building a multi-agent document-search copilot — Part 1: muddy results, and one strategy per query The first version ranked documents badly — and worse, it ranked them badly in a way that looked fine on the architecture diagram. Those are the bugs ...

Building a Conversational Chatbot with AWS Bedrock Amazon Titan Overview Large Language Models don’t magically “remember” conversations. In real-world systems, conversation state must be explicitly managed. In this project, we build a determini...

Amazon Bedrock Knowledge Base pricing is based on the following components: 1. Storage and Ingestion Storage: You are charged for the storage of vector embeddings in the underlying vector database e.g., Amazon OpenSearch, Pinecone, or Redis Enterp...