コンテキスト グラウンディングについて

Context Grounding is a component of the UiPath AI Trust Layer which allows you to bring in your data to generate more accurate, reliable GenAI predictions. Context Grounding is designed to make your business data LLM-ready without the need for any additional subscription to embedding models, vector databases, or large language models (LLMs). You can create representative indexes and embeddings of business data that UiPath GenAI features can reference for contextual evidence at runtime.

Context Grounding is a tenant-scoped platform service designed to support UiPath GenAI experiences (such as GenAI Activities and Autopilot for everyone) by grounding your prompts with relevant information before they are executed by the LLM via retrieval augmented generation (RAG).

UiPath GenAI エクスペリエンスに RAG をサービスとして提供すると、次のことが可能になります。

• LLMコンテキストウィンドウの制限を克服:小規模モデルと大規模モデルの両方で、RAGはモデルがナレッジベースと対話する際の精度、信頼性、スケーラビリティ、および効率を向上させるのに役立ちます。
• グラウンドトゥルースデータストアへの参照により、幻覚のリスクを軽減します。
• 生成アプリに、専門的で独自の知識ソースへのアクセスを提供します。
• 生成アプリに最新の情報源へのアクセスを提供します。
• データ ストアとユーザー クエリ間の正のフィードバック ループを有効にします。

Core components

The terminology and core components of Context Grounding include:

Figure 1. Context Grounding component architecture

取り込みとインデックス作成: ビジネス データを LLM 対応にする

• Ingestion: Convert business data into representative embeddings using UiPath-managed embedding models.
• Embedding: A representation of business data than an LLM can understand and search through.
• Index: A folder in a vector database that organizes the embeddings.
• Vector DBs: UiPath-managed vector database that stores embeddings organized in indexes.

Retrieval

• Search through LLM-ready business data to find the most relevant information. Context Grounding uses a variety of extraction, chunking, retrieval, and re-ranking techniques that are optimized based on different data formats and queries.
• プロンプトを埋め込みを検索するクエリとして解釈し、コサイン類似性検索に基づいて最も関連性の高い結果を生成します。 これらの検索結果は、RAG の中間的な前段階であり、ビジネス データからの関連するコンテキストでプロンプトを補強します。

Retrieval Augmented Generation

• セマンティック類似性検索結果から最も関連性の高い情報を使用してプロンプトをグラウンディングおよび更新し、AI Trust Layer の LLM ゲートウェイを介してホストされる LLM で生成を実行します。

主な機能

コンテキストグラウンディングの主な機能の一部を次に示します。

• Multi-document support: PDF, JSON, CSV, XLS, DOCX, TXT files.
• Managed ingestion and indexing pipelines: UiPath optimizes the ingestion and indexing of data in UiPath-managed vector databases.
• Multiple surfaces: Context Grounding is currently available as part of the UiPath GenAI Activities, AI Trust Layer (with a dedicated UI), and Autopilot for everyone.
• Data retrieval: Query within documents or across datasets using a variety of techniques (e.g. query transformation, embedding, fine tuning, etc.) to ensure search results are highly relevant.
• Retrieval Augmented Generation: Ground prompts via just-in-time (JIT) in-memory or over a knowledge base.
• Proof of knowledge: Provides a citation of the reference source and text from the semantic similarity search.
• Streaming support: Streaming API support to show generation as it is being produced.
• Multilingual support: Ability to ingest and query from documents in all UTF-8 encoded languages.
• Support for multiple data sources:
  • UiPath Orchestrator bucket entities: You can ingest, index, and query data stored within shared folders in Orchestrator bucket entities.
  • Document storage systems: Through Integration Service connectors, such as Microsoft OneDrive & SharePoint and Google Drive: Context Grounding can access data directly stored in third-party applications.

Limitations and considerations

• Context Grounding currently supports specific file types: PDF, JSON, CSV, XLS, DOCX, TXT.
• There is a limit of ten indexes per tenant. We recommend you keep a 1-1 relationship with these and the folder path in the data source you want to use.
• Context Grounding respects folder permissions and authorization for shared folder entities. Users who do not have the appropriate permissions may not be able to see, update, delete, or use indexes that are affiliated with folders they do not have permissions to.
• To use Context Grounding through UiPath GenAI Activities, you must use Studio Web or Studio Desktop version 2024.4 or newer. For more information, see the Getting started section.