AI & GenAI

Knowledge Agent

Turn scattered business information into accessible answers. Enin Systems connects enterprise knowledge with AI-assisted search to help teams find relevant information and understand the sources behind it.

Explore Knowledge AI

The Enterprise Knowledge Challenge and Our RAG Solution

Make organisational information easier to retrieve and use with semantic search and retrieval-augmented generation.

  • Semantic Knowledge Search

    Find relevant information based on meaning and context, beyond exact keyword matches.

  • Knowledge-Grounded Answers

    Use retrieved business content to guide responses and provide supporting source references.

  • Connected Knowledge Sources

    Bring approved documents and repositories into a shared knowledge retrieval process.

  • Contextual Information Access

    Retrieve content relevant to the question while respecting configured access permissions.

Knowledge Agent Core Capabilities

Help teams move from searching across systems to finding relevant answers supported by business knowledge.

  • 01

    Vector Search Infrastructure

    Organise knowledge for semantic search so related information can be retrieved across different wording and terminology.

    • Meaning-based information retrieval
    • Searchable knowledge indexes
    • Embedding models
    • Metadata filtering
    Explore Vector Search
  • 02

    Retrieval-Augmented Generation

    Generate responses using retrieved business content, with source references that help users review and verify the answer.

    • Knowledge-grounded responses
    • Supporting source references
    • Context retrieval
    • Answer evaluation
    Explore RAG Capabilities
  • 03

    Multi-Source Knowledge Ingestion

    Bring information from approved documents, repositories, and connected applications into a shared retrieval process.

    • Multiple source connections
    • Scheduled content updates
    • Document connectors
    • Synchronisation workflows
    Explore Knowledge Ingestion
  • 04

    Intelligent Content Processing

    Prepare documents for search by organising information into meaningful sections and preserving useful contextual details.

    • Structured content extraction
    • Context-aware document segmentation
    • Document parsing
    • Metadata enrichment
    Explore Content Processing
  • 05

    Knowledge Analytics and Insights

    Understand what users search for and identify where missing, outdated, or unclear information affects their experience.

    • Search pattern analysis
    • Knowledge gap discovery
    • Query reporting
    • Feedback tracking
    Explore Knowledge Insights
  • 06

    Security and Knowledge Governance

    Manage information access and content maintenance through permissions, ownership, and defined review processes.

    • Permission-aware retrieval
    • Content lifecycle management
    • Access controls
    • Audit trails
    Explore Knowledge Governance

Knowledge Agent Implementation Process

Build a searchable knowledge experience around trusted sources, useful answers, and ongoing improvement.

  1. 01
    1–2Weeks Assessment

    Knowledge Assessment and Architecture

    Review content, information sources, and access requirements to design a solution around the questions your teams need answered.

    • Knowledge source inventory
    • Content quality assessment
    • User question mapping
    • Access requirement review
    • Retrieval architecture design
  2. 02
    2–3Weeks Setup

    Search Infrastructure and Index Setup

    Configure the search foundation to organise knowledge and retrieve relevant information using meaning, context, and metadata.

    • Search infrastructure setup
    • Embedding model selection
    • Knowledge index configuration
    • Metadata structure definition
    • Retrieval performance testing
  3. 03
    2–4Weeks Processing

    Knowledge Ingestion and Processing

    Connect approved sources and prepare documents for retrieval while preserving useful context and access information.

    • Source connector configuration
    • Document extraction and cleaning
    • Content segmentation
    • Metadata and permission mapping
    • Ingestion quality validation
  4. 04
    1–2Weeks Launch

    Answer Validation and Deployment

    Evaluate responses against representative business questions and launch with monitoring and feedback processes.

    • Retrieval and answer evaluation
    • Source reference validation
    • Production deployment
    • User feedback collection
    • Knowledge refresh monitoring