Answers You Can Trust 

Information is power especially when your AI can instantly tap into your organization’s knowledge. Retrieval-Augmented Generation (RAG) is a cutting-edge approach that combines AI’s natural language generation with real-time information retrieval.  

Answers You Can Trust

Simplify Multi-Modal solutions using RAG

At Softech Worldwide, we have extensive expertise in designing RAG systems for enterprises. We build semantic search capabilities that index your multi-modal data – documents, webpages, PDFs, audio transcripts, video captions, images, you name it – into a vector database or graph system. 

Semantic Search

Unlike keyword search, semantic search understands the meaning behind your query. We implement vector search using technologies like Qadrant, Pinecone, or Elasticsearch to find relevant information even if the wording differs. This ensures the AI gets the right supporting data for each question. 

Semantic Search

Multi-Modal Knowledge Graphs  

We don’t limit information to text. Our systems can incorporate image metadata, video transcripts, audio content, and structured data all into a unified knowledge graph. For example, a RAG system for a media company could link a video’s transcript, the presenters’ bios, and related articles together, so queries can be pulled from all of those. 

Multi-Modal Knowledge Graphs

Enterprise Content Integration  

We connect to your content repositories securely. Whether your data lives in SharePoint, OneDrive, Google Drive, AWS S3, Azure Blob Storage, or other databases, our RAG pipeline can ingest and index it. We also ensure access controls so that sensitive data is protected the AI will only retrieve what the user is authorized to see.  

Enterprise Content Integration

Live Data Updates

We design RAG systems to keep the knowledge base fresh. New documents or records can be indexed on the fly, and the AI’s responses will reflect the latest information. This is crucial for scenarios like customer support or law libraries, where information changes and the AI must not rely on outdated training data.  

Live Data Updates

Accuracy and Citations

Our approach emphasizes trustworthy AI output. The generative model can provide source citations or highlight which document its information came from. This transparency builds trust in the AI’s answers and makes verification easy. 

Accuracy and Citations

With Softech’s RAG expertise, your AI will be:

Intelligent

Intelligent

Informed

Informed

Adaptive

Adaptive

Smarter Assistants for Smarter Workflows

In practice, our RAG solutions power advanced enterprise chatbots and assistants. For instance, we built an internal assistant for a corporate client that could answer employees’ HR and IT questions by pulling answers from policy documents and knowledge bases.

We also developed a system for a legal firm that enables an AI to instantly retrieve relevant case files and precedents in response to a question, and then draft a summary memo.