Tikal’s Agentic RAG solution helps engineering teams turn data into reliable, actionable intelligence. We use a structured, hands-on approach to design RAG systems that reason, retrieve, and act securely within your environment, building production-ready assistants that deliver measurable value and scale with your organization.
Agentic RAG combines retrieval-augmented generation with agentic capabilities like planning and reasoning. With Tikal’s guidance, your team designs assistants that can dynamically access data, understand context, and perform tasks end-to-end. This turns static knowledge into a living system that supports both engineering operations and product intelligence.
Tikal tailors the Agentic RAG stack to your goals and infrastructure. We implement orchestration frameworks such as LangGraph, LangChain, or LlamaIndex, integrate LLMs from providers like OpenAI, Anthropic, or Gemini, and connect data using vector or graph databases such as Pinecone or Weaviate. For prompt management and observability we suggest LangFuse and LiteLLM. Observability, evaluation, and governance are embedded from day one to ensure reliability and transparency.
A scalable, governed RAG solution that connects knowledge, performance, and real-world impact.
Enable your systems to retrieve and reason with relevant information in real time.
Tracing, evaluation, and policy controls ensure safe and transparent AI operations.
Tikal’s squad works alongside your engineers, co-building and transferring operational knowledge.
Integrated with your tools, identity, and cloud environment, no vendor lock-in.
Our structured process turns experiments into maintainable, production-grade systems.
Architecture evolves with your data, usage, and business growth.
During the intro sessions, we work closely with your team to ask the right questions about your data, use cases, and goals. Together, we define what success looks like, identify challenges, and plan the right approach for implementing an Agentic RAG solution that fits your workflows and environment.
The Tikal Squad then joins forces with your team, acting as an integral yet independent unit. Squad members are selected based on the specific expertise required for the task, covering areas like architecture design, retrieval strategy, and governance. Tikal’s squad will also share all the relevant knowledge required for your team to continue thriving.
Sounds good?
Let’s talk and build Agentic RAG systems that bring your data to life.
