GenAI & Applied LLM Expertise
We specialize in developing RAG/CAG solutions that leverage GenAI and Large Language Models (LLMs). Our approach makes LLMs work securely, efficiently, and with measurable impact on your business.
RAG/CAG Application Development
Build Intelligent Business Apps With Retrieval and Caching
Talk to an ExpertLeading with Proven Outcomes
60-80%
Reduction in LLM API Cost
10- 50x
Reduction in Response Latency
90%
Improved User Experience
75%
Faster Time-to-Value
Bridge The Gap Between AI and Insights
Off-the-shelf AI models like GPT-4 and Claude are powerful, but without access to your internal data, they fall short of delivering precise, business-relevant insights. Generic responses, data blind spots, and security risks become major barriers to enterprise adoption.
At Tx, we bridge this gap with Retrieval-Augmented Generation (RAG) and Cache-Augmented Generation (CAG), the cutting-edge techniques that make your large language models smarter, faster, and more aligned with enterprise demands. While RAG pulls the most relevant internal documents in real time, grounding AI answers in your data for enhanced accuracy and trust, CAG minimizes latency and compute costs by intelligently caching outputs, delivering faster responses and optimized performance. Our RAG/CAG AI development services help you build secure, high performance AI systems tailored to your domain, accelerating decision-making.
Our Key Clients
How Tx Supports RAG/CAG Solutions?
Reduce query latency using hybrid retrieval + cache mechanisms.
Add continuity across sessions with LangChain Memory and AutoGPT-style CAG.
Ground answers in retrievable documents with source traceability using the OpenAI RAG pipeline.
Use semantic retrieval (LangChain, Pinecone) to inject real-time context and overcome LLM blindness.
Reuse outputs with intelligent caching (Redis, Vector Cache) to reduce token and API costs.
Why Leading Enterprises Choose RAG and CAG for AI Optimization
Accelerate decision-making with instant, context-rich insights at scale.
Cut AI operating costs while maximizing performance and precision.
Build customer trust with consistent, audit-ready intelligent responses.
Increase conversions and loyalty with hyper-relevant, real-time responses.
Launch AI-powered experiences faster with integrated enterprise-grade reliability.
Our RAG and CAG App Development Capabilities
Custom RAG Architecture Engineering
We help you design and deploy domain-specific RAG systems (e.g., naive RAG, rerank, agentic). Our approach involves leveraging frameworks like LangChain, LlamaIndex, and Haystack as per your business needs.
Autonomous Agent Integration
We help you build intelligent agents using AutoGen or CrewAI tools. These agents can plan and execute multi-step workflows based on retrieved knowledge.
Contextual Language Generation
We assist you in building LLM pipelines that dynamically inject user, system, or session context into prompts. This enhances accuracy, relevance, and trust in generated outputs.
Secure & Compliant Deployments
We ensure secure RAG/CAG deployments by aligning with SOC2, GDPR, HIPAA, and ISO 27001. This includes access controls, data encryption, audit logging, and deployment on secure cloud, hybrid, or on-prem environments.
Workflow-Level RAG Automation
We automate knowledge-heavy tasks (e.g., document Q&A, support triage) by embedding RAG into tools like Slack, ServiceNow, Notion, or internal CRM.
Scalable and Modular Infrastructure
We help you deploy containerized, serverless, or microservice-based architectures (Docker, Kubernetes, FastAPI). These architectures can scale with growing business demand.
Our Technology Partners
Why Choose Tx?
End-to-End Solution Delivery
We manage the full lifecycle from use case discovery to deployment and optimization. Our expertise assists you in building context-aware chatbots or smart assistants without handoffs or delays.
Security & Compliance Focused
We design RAG and CAG systems while keeping data privacy and compliance at the core of your requirements. Whether on-premises, cloud-native, or hybrid, we build according to your security standards.
Tailored Context Pipelines
We design context pipelines and retrieval logic by aligning with your workflows, KPIs, and domain language. Our team ensures your model responses are not only smart but also relevant.
Get a Consultation
Speak directly with a Digital Engineering Director.
Get solutions tailored to your unique development challenges.
Identify AI-driven development opportunities and build a roadmap for success.