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Retrieval-Augmented Generation: 85% Factual Accuracy in Salesforce AI

GPTfy Retrieval-Augmented Generation (RAG) in Salesforce - contextual AI architecture with hybrid semantic retrieval and enterprise security
85%

factual accuracy with contextual knowledge retrieval

Customer Support Teams, Generate Contextual Responses

Automated Chatbot Enhancement

Power Einstein Chatbots with unified knowledge bases including articles, manuals, PDFs, and website content. Retrieve the right answers on the fly, improving deflection rates and customer satisfaction.

Intelligent Case Routing

Automatically classify and route complex cases to the correct queue based on semantic understanding of case details and relevant knowledge articles.

Customer Support Teams Generate Contextual Responses

Business Analysts, Discover Hidden Insights

Business Analysts Discover Hidden Insights

Document & Knowledge Mining

Run semantic search over indexed content—PDFs, KB articles, historical cases—to generate on-demand insights, trend analyses, and executive summaries.

Reduced Time-to-Insight

Slash the time spent manually searching disparate systems by leveraging intelligent retrieval of relevant information across your knowledge bases.

Enterprise Architects, Integrate Across Clouds

Multi-Cloud Vector Store Integration

Connect natively to major RAG providers—Google Vertex AI Matching Engine on GCP, Amazon Pinecone (via AWS), Azure Cognitive Search, and others—using your preferred vector store.

100% Salesforce-Native Execution

Pull content directly from inside your Salesforce org with no external agent or middleware required, preserving data residency and simplifying governance.

Enterprise Architects Integrate Across Clouds

Why Teams Choose GPTfy RAG

Hybrid Semantic Retrieval

Balance recall and precision with support for both pure vector search and hybrid search (vector + keyword), reducing hallucinations while ensuring consistent, context-aware results.

Flexible Data Ingestion

Identify and pull in content from Salesforce Knowledge articles, custom objects, attached files (PDFs, docs), external objects, or websites—all through a declarative interface.

Enterprise-Grade Security

Apply PII-masking rules before content is embedded, enforce field-level access via Salesforce permissions, and log every retrieval and AI call in an immutable audit trail.

Transform AI Accuracy: Contextual Knowledge, Factual Responses

See how GPTfy's RAG capabilities can enhance your Salesforce AI experience with contextual, factual information in just 30 minutes. We'll demonstrate implementation tailored to your business needs and show how to achieve 85% factual accuracy with hybrid semantic retrieval.

Book 45 mins. Discuss your use cases.

100% Salesforce Native. AppExchange Security Approved.

GPTfy's RAG implementation operates within your Salesforce security model. Only vector embeddings—not raw data—leave your org when using external vector stores, ensuring compliance with data protection requirements while delivering enhanced AI capabilities with enterprise-grade security standards.