How Couchbase built a multi-model AI architecture for Capella iQ with Amazon Bedrock
JA title: Couchbase が Amazon Bedrock を活用した Capella iQ の複数モデル AI アーキテクチャを構築
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- 01Article focus
データベース管理企業の Couchbase が、複数の AI モデルを組み合わせた「Capella iQ」というシステムを作りました。
- 02Operational lens
日本企業では、複数の生成 AI モデルを統合したシステムの構築に参考になります。
- 03Verify in source
AWS Machine Learning Blog (Vendor): separate product claims from integration scope, pricing, and limitations for R&D.
<p><em>This post is co-written with Tushar Madaan from Couchbase.</em></p> <p>Building an AI-powered developer assistant that can generate database queries, recommend indexes, and support multi-turn conversational workflows requires more than a single large language model (LLM). It demands an inference architecture that is flexible, scalable, and resilient. As enterprise adoption of Capella iQ grew, Couchbase expanded its AI application to support multiple foundation model (…
ゼロビズAX View — How Japanese companies can apply it
日本企業では、複数の生成 AI モデルを統合したシステムの構築に参考になります。Amazon Bedrock（未国内展開）の代替として、Claude API や Azure OpenAI Service など複数モデル API を API Gateway で統合する手法が適用可能。費用感：月額数万～数十万円（モデル利用量・API呼び出しによる従量課金）。注意点として、複数モデルの応答時間差や精度差の吸収、フェイルオーバー設計が必要です。ベクトルDB（Couchbase Vector Search など）との組み合わせも検討値。
Plain-language glossary
Simple explanations of the technical terms used in this article.
- LLM（大規模言語モデル）
- The 'brain' behind chat AIs — a model trained on huge amounts of text to understand and write language.
- 推論（インファレンス）
- The step where a trained AI actually answers or predicts — running the model in production.
- ファウンデーションモデル（基盤モデル）
- A large, general-purpose AI model that companies build their products on top of.
- API（外部連携の窓口）
- A connection point that lets systems exchange data and features — used to plug AI into existing tools.
- Embedding（ベクトル化）
- Turning text meaning into numbers so similar content can be found — the basis of smart internal search.
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Primary source: https://aws.amazon.com/blogs/machine-learning/how-couchbase-built-a-multi-model-ai-architecture-for-capella-iq-with-amazon-bedrock/
This article is an AI-generated summary of overseas primary sources. Translations or summaries may be imperfect — always confirm the original before making implementation decisions. The "ゼロビズAX View" is our applied interpretation and does not guarantee any specific outcome.
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