RAG Knowledge Systems
RAG Knowledge Systems turn your company’s scattered documents, policies, SOPs, contracts, and emails into a single, intelligent knowledge layer. Instead of your team hunting through folders or relying on tribal memory, Retrieval-Augmented Generation gives them an AI assistant that can search, reference, and summarize your proprietary information with precision.
Theta Tech builds private, domain-aware RAG systems that eliminate hallucination by grounding every answer in your verified sources. Your organization gains the ability to query its knowledge the way it always should have—naturally, instantly, and securely.
Understanding the Concept
RAG (Retrieval-Augmented Generation) enhances language models by connecting them to your real data. Before the AI responds, it retrieves the most relevant documents, passages, or structured fields from a specialized search stack. The model then reasons over actual evidence, not assumptions.
This requires a carefully engineered retrieval pipeline. Vector databases store semantic embeddings of your documents. Keyword search layers ensure precision for names, IDs, technical terms, and policies that embeddings alone may miss. Rerankers choose the most relevant excerpts. Context windows become optimized summaries. The generative model integrates this information into a grounded, citation-backed answer.
In practice, RAG transforms your AI from a storyteller into a researcher.
Make your company’s knowledge actually usable.
Public AI tools hallucinate because they cannot access your data. Private AI tools fail because they lack context. Businesses need both accuracy and relevance—and RAG delivers exactly that.
Theta Tech’s RAG systems give your employees real-time access to company knowledge without exposing sensitive documents to external platforms. Every answer includes traceability, so teams know where the information came from. This reduces errors, accelerates onboarding, resolves support tickets faster, improves decision-making, and ensures your institutional knowledge is finally accessible instead of buried.
Technical Capabilities
- Hybrid Semantic and Keyword Retrieval:
Combining embeddings with traditional search for maximal accuracy across diverse document types.
- Vector Database Integration:
Implementation and optimization of Pinecone, Weaviate, Milvus, or other vector stores as your knowledge backbone.
- Domain-Tuned Embeddings and Reranking:
Custom embedding models and intelligent rerankers tailored to your industry and internal terminology.
- Private, Secure Deployment:
RAG systems hosted inside your environment with strict data governance and access controls.
- Explainable Retrieval Chains:
Every answer includes source citations, document excerpts, and reasoning transparency.
- Document Preprocessing and Summarization Pipelines:
Automatic ingestion, chunking, cleaning, metadata tagging, and summarization of your entire knowledge corpus.
The Result
A private AI that truly knows your business.
No hallucinations. No guesswork.
Just grounded, contextual intelligence built by Theta Tech.
Real-World Impact
Algorithm for Collaboration & Distribution
Clinical UI Design for Radiology AI
Developing 3D Radiology AI Solutions
Explore Our Work
Improved Active Shape Models for Segmentation of the Prostate on MR Imagery
Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge
HistostitcherTM: An informatics software platform for reconstructing whole-mount prostate histology using the extensible imaging platform framework
A Domain Constrained Deformable (DoCD) Model for Co-registration of Pre- and Post-Radiated Prostate MRI
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