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RAG Technology

CustomGPT.ai Researcher uses state-of-the-art Retrieval Augmented Generation (RAG) technology to ensure high-quality, factual content generation. Our implementation combines advanced vector search with sophisticated AI models to deliver industry-leading accuracy and anti-hallucinations.

Key Benefits​

  • #1 Anti-Hallucinations: Ground all content in verified sources
  • 100% Source-Based: Every fact backed by citations
  • Context Preservation: Maintain original meaning and intent
  • Semantic Search: Advanced understanding of content relationships
  • Real-Time Processing: No pre-training required

Technical Architecture​

Vector Database​

  • Embedding Models: State-of-the-art text embeddings (OpenAI)
  • Indexing Strategy: Optimized for quick retrieval (Pinecone)
  • Query Processing: Advanced semantic matching (using propreitary re-ranking)

Content Processing​

  • Smart Chunking: Preserve context in segments
  • Metadata Handling: Track source information
  • Format Support: Process 1400+ file types
  • Language Support: Multi-language capability

Generation Control​

  • Source Grounding: Fact-based generation with citations
  • Context Window: Maintain relevant scope
  • Citation Management: Automatic attribution
  • Quality Metrics: #1 in accuracy and anti-hallucination

Implementation Benefits​

For Research​

  • Comprehensive Coverage: Access all relevant sources
  • Accurate Citations: Proper attribution
  • Context Awareness: Maintain original meaning

For Content​

  • High Quality: Factual, well-researched content
  • Source Backed: Every claim supported
  • Clear Attribution: Proper citations
  • Coherent Flow: Logical progression

Industry Applications​

Content Creation​

  • Blog Posts: Research-backed articles
  • Whitepapers: Technical documentation
  • Reports: Market analysis
  • Documentation: Technical guides

Research Tasks​

  • Literature Reviews: Academic research
  • Market Analysis: Industry insights
  • Competitor Research: Business intelligence
  • Technical Research: Product development
Advanced Technology

For every article, our RAG implementation processes over 1.4M words from 200+ sources in approximately 38 minutes, delivering comprehensive research with industry-leading accuracy and anti-hallucination.