AI features
RAGボットが回答を捏造するのをやめさせる
検索が失敗する原因を診断し、チャンキング、再ランキング、プロンプトを修正して、回答が根拠に基づき引用可能になるまで改善します。
What you get
- チャンキング、埋め込み、ランキングの失敗を区別する検索診断
- ランク5での精度改善を測定した再ランキングステージ
- 必須の引用と拒否パスを含む書き換えられたグラウンディングプロンプト
- ラベル付けされた質問セットでの前後比較評価
Usually built with
Cohere Rerank
pgvector
Python
Ragas
A guide, not a requirement — sellers propose what suits your situation.
Nobody offers this yet
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Or publish it yourself if this is your work.
Close to this
Evaluation harness so prompt changes stop regressingA test suite for your AI feature that runs in CI and tells you when a prompt or model change makes things worse.from €2,200MCP server so agents can use your internal toolsExpose your internal APIs to coding and support agents safely, with scoped permissions and a full audit trail.from €2,000Streaming chat UI with tool calls and real error statesThe front end your AI feature deserves: token streaming, cancellation, retries and messages that survive a refresh.from €2,000Moderation for user-generated text and imagesAutomatic screening of uploads and posts with tunable thresholds, an appeals path and a queue for the grey area.from €2,400Meeting transcription with searchable summariesCalls transcribed with speaker labels, summarised into decisions and actions, and searchable across every past meeting.from €2,500Harden your LLM feature against prompt injectionClose the gaps that let a crafted input make your agent leak data, call the wrong tool or ignore its instructions.from €1,800
What will it cost?
Four questions, an instant range. No account, no waiting.
Estimated range
€2,200 – €4,500
6-11
Based on the catalogue guide — nobody has published this service yet, so there is no market price to work from. An estimate, not a quote: a seller prices the real job once they have read it.
Request a quote
Nobody has published this service yet.