AI Knowledge enables organizations to create AI agents that leverage their unique expertise, documents, and information. Using Retrieval Augmented Generation (RAG), AI Knowledge connects language models to your specific knowledge, allowing them to provide accurate, contextual responses based on your organization’s content.

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Key Features

Knowledge Base Creation

Build searchable repositories of your organization’s information

Document Management

Upload, process, and organize documents across formats

RAG Configuration

Fine-tune how AI accesses and uses your knowledge

Agent Creation

Build specialized agents powered by your knowledge

Testing & Validation

Verify accuracy and relevance of responses

Tool Integration

Extend capabilities with specialized tools

Performance Analytics

Track knowledge retrieval effectiveness

Continuous Improvement

Refine and optimize knowledge access over time

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Who Uses AI Knowledge?

AI Knowledge serves various roles within organizations:

Information specialists and knowledge managers use AI Knowledge to:

  • Organize and structure organizational knowledge
  • Create accessible knowledge bases
  • Maintain and update information
  • Monitor knowledge usage and gaps

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How AI Knowledge Works

1

Document Ingestion

Upload and process your organization’s documents and content.

AI Knowledge supports various document types including:

  • PDF files
  • Word documents
  • PowerPoint presentations
  • Excel spreadsheets
  • HTML content
  • Text files
  • Images with text (via OCR)
  • And more
2

Knowledge Processing

Documents are processed, chunked, and converted into embeddings.

Processing includes:

  • Text extraction
  • Semantic chunking
  • Vector embedding generation
  • Metadata extraction
  • Optional content enrichment
3

Knowledge Base Creation

Organize and structure processed documents into searchable knowledge bases.

Knowledge bases can be:

  • Topic-specific
  • Department-focused
  • Project-based
  • Product-centered
  • Audience-targeted
4

Agent Configuration

Connect knowledge bases to AI agents and fine-tune retrieval settings.

Configuration includes:

  • RAG parameters
  • Context handling
  • Query processing
  • Response generation
  • Tool integration
5

Deployment & Use

Make knowledge-powered agents available to users through various channels.

Deployment options:

  • AI Store listing
  • Direct sharing
  • Integration into applications
  • API access
  • Embedded experiences
6

Monitoring & Optimization

Track performance and continuously improve knowledge retrieval.

Key metrics include:

  • Retrieval accuracy
  • Query coverage
  • User satisfaction
  • Knowledge gaps
  • Response quality

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RAG Overview

Retrieval Augmented Generation (RAG) is the core technology behind AI Knowledge:

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Knowledge Base Types

AI Knowledge supports different types of knowledge bases to meet various needs:

Document Repositories

Collections of structured documents like manuals, reports, and policies

FAQ Collections

Frequently asked questions with curated answers

Product Knowledge

Information about products, specifications, and features

Procedural Guides

Step-by-step instructions and processes

Technical Documentation

Technical details, APIs, and system information

Training Materials

Educational content and learning resources

Research Collections

Scientific papers, studies, and findings

Legal & Compliance

Regulations, policies, and compliance information

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Integration with Prisme.ai Products

AI Knowledge works seamlessly with other Prisme.ai products:

ProductIntegration
AI SecureChatAccess knowledge bases through conversational interface
AI StoreShare and discover knowledge-powered agents
AI CollectionCombine structured and unstructured data access
AI BuilderCreate advanced applications with knowledge integration
AI GovernanceManage access and security for knowledge resources
AI InsightsTrack performance of knowledge-based interactions

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Getting Started with AI Knowledge

1

Access AI Knowledge

Navigate to AI Knowledge from your Prisme.ai dashboard.

2

Create your first knowledge base

Click “Create Knowledge Base” to begin the setup process.

Follow the guided process to:

  • Name your knowledge base
  • Define its purpose
  • Set access permissions
  • Configure basic settings
3

Upload initial documents

Add documents to your knowledge base.

You can:

  • Upload files directly
  • Connect to document repositories
  • Import from URLs
  • Use the document processing API
4

Configure basic RAG settings

Set up how your knowledge will be processed and retrieved. Start with recommended settings for:

  • Chunking strategy
  • Retrieval method
  • Context handling
  • Response generation
5

Create a knowledge agent

Build an agent that uses your knowledge base.

Define:

  • Agent purpose and behavior
  • Knowledge base connections
  • Response preferences
  • User interaction style
6

Test and refine

Try out your agent and adjust settings as needed.

The testing interface allows you to:

  • Ask sample questions
  • View retrieved contexts
  • Evaluate response quality
  • Identify areas for improvement

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Use Cases

Internal Knowledge Management

Create agents that help employees find and use company policies, procedures, and best practices.

Example: HR Policy Assistant that answers questions about benefits, time off, and workplace policies.

Technical Support

Build agents that assist with troubleshooting, maintenance, and technical information.

Example: Product Support Agent that helps customers resolve issues with specific products.

Research Assistance

Develop agents that help analyze and extract insights from research collections.

Example: Research Assistant that helps scientists navigate relevant papers and studies.

Training & Onboarding

Create agents that help with learning and skill development.

Example: Onboarding Assistant that guides new employees through company systems and processes.

Sales & Marketing Support

Build agents that provide accurate product information and marketing content.

Example: Product Knowledge Agent that helps sales teams access accurate specifications and features.

Compliance & Legal

Develop agents that help navigate complex regulatory and legal requirements.

Example: Compliance Assistant that provides guidance on industry regulations and internal policies.

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Next Steps

Explore more detailed guides for AI Knowledge features:

Knowledge Bases

Create and manage collections of organizational knowledge

Document Management

Upload, process, and organize documents

Create Knowledge Base

Step-by-step guide to building your first knowledge base

RAG Configuration

Fine-tune retrieval and response settings

Analytics

Track and improve knowledge base performance

Tools Integration

Enhance agents with specialized capabilities

Agent Testing

Validate and improve agent responses

Advanced RAG

Implement sophisticated RAG architectures

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