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Knowledge

Enterprise-grade Retrieval-Augmented Generation (RAG) with 98% accuracy on long-context benchmarks.

Overview

Connect your enterprise knowledge base to AI agents with fifthelement.ai's industry-leading RAG capabilities. Ingest documents, crawl websites, configure vector search, and deliver fact-based responses with source citations.

Knowledge Management

  • RAG Overview

    Understanding RAG capabilities and 98% accuracy benchmark performance.

    Learn RAG

  • Document Ingestion

    Upload files, connect Confluence, SharePoint, OneDrive, and more.

    Ingest Documents

  • Web Crawling

    Crawl websites with authentication, depth control, and content filtering.

    Setup Crawling

  • Vector Search

    Configure hybrid search, retrieval settings, and confidence scoring.

    Configure Search

Key Features

Multi-Source Ingestion

  • Confluence: Sync spaces and pages automatically
  • SharePoint/OneDrive: Connect with OAuth authentication
  • Web Crawling: Crawl public or private websites
  • File Upload: PDF, DOCX, CSV, TXT, and more
  • API Ingestion: Programmatic document upload

Smart Processing

  • AI-Based Extraction: Custom field extraction with natural language prompts
  • OCR Processing: Extract text from images and scanned documents
  • Table Detection: Structure tabular data automatically
  • Metadata Extraction: Document properties and custom fields
  • Multi-Language: Automatic language detection and processing

Advanced Retrieval

  • Hybrid Search: Dense + sparse vectors for optimal accuracy
  • Semantic Search: Natural language query understanding
  • Confidence Scoring: Relevance scores for retrieved results
  • Cross-Document Reasoning: Connect information across documents
  • Temporal Awareness: Date-based filtering and recency weighting

98% Accuracy

  • Long-Context Excellence: Industry-leading performance on benchmarks
  • Source Citations: Every response includes document references
  • Reduced Hallucinations: Evidence-grounded responses
  • Query Refinement: Multi-stage retrieval for complex questions

Getting Started

  1. Understand RAG Capabilities - Learn about RAG and accuracy benchmarks
  2. Ingest Your First Documents - Upload files or connect data sources
  3. Configure Web Crawling - Crawl your website or documentation
  4. Optimize Vector Search - Fine-tune retrieval settings