Turn your enterprise data into intelligent answers
RKIV combines cutting-edge RAG technology with deep enterprise expertise. Whether you need a turnkey platform or guidance building your own, we help you unlock the full potential of your data.
Trusted by forward-thinking enterprises
Enterprise RAG, reimagined
Our platform combines the latest advances in retrieval technology with battle-tested enterprise architecture. Built for scale, designed for results.
Knowledge Graphs
Go beyond simple vector search. Our knowledge graph integration captures complex relationships between entities, enabling nuanced reasoning and more accurate answers from your enterprise data.
Agentic RAG
Deploy intelligent agents that don't just retrieve information—they reason, plan, and execute multi-step tasks. Perfect for complex enterprise workflows that require autonomous decision-making.
Massive Database Scale
Designed from the ground up to handle enterprise-scale relational databases. Query billions of records with sub-second response times while maintaining context and accuracy.
Hybrid Retrieval
Combine semantic search, keyword matching, and structured queries in a single unified system. Get the best of all retrieval methods, automatically optimized for each query.
Enterprise Security
SOC 2 compliant with end-to-end encryption, role-based access control, and comprehensive audit logging. Deploy on-premises or in your private cloud with full data sovereignty.
Seamless Integration
Connect to your existing data sources in minutes. Native integrations with Snowflake, Databricks, PostgreSQL, MongoDB, SharePoint, Confluence, and 50+ enterprise systems.
Expert guidance for your RAG journey
Building RAG internally? Our team of specialists helps you navigate the complexities and avoid costly mistakes. We've helped dozens of enterprises succeed with RAG.
Architecture Design
We design RAG architectures tailored to your specific data landscape and use cases. From knowledge graphs to hybrid retrieval strategies, we help you choose the right approach.
Deliverables
- Technical architecture document
- Technology stack recommendations
- Scalability & performance analysis
- Security & compliance review
Implementation Support
Our engineers work alongside your team to build production-ready RAG systems. We handle the complex parts so you can focus on delivering value to your users.
Deliverables
- Hands-on development support
- Code reviews & best practices
- Performance optimization
- Testing & validation frameworks
Strategy & Roadmap
Not sure where to start? We help you identify high-impact RAG use cases, prioritize initiatives, and build a realistic roadmap for your AI transformation.
Deliverables
- Use case discovery workshop
- ROI analysis & prioritization
- Phased implementation plan
- Success metrics & KPIs
Deep expertise across the RAG stack
Our consultants bring hands-on experience with the leading tools and frameworks
Knowledge Graphs
Neo4j, Amazon Neptune, property graphs, ontology design
Vector Databases
Pinecone, Weaviate, Milvus, pgvector, Qdrant
LLM Integration
OpenAI, Anthropic, Azure OpenAI, open-source models
Data Engineering
ETL pipelines, data quality, chunking strategies
Built on the cutting edge
We stay ahead of the rapidly evolving RAG landscape so you don't have to. Our platform incorporates the latest research and best practices.
Trusted by enterprise leaders
See how leading organizations are transforming their data operations with RKIV
“RKIV's knowledge graph approach transformed how our analysts access information. What used to take hours of searching now takes seconds.”
“Their consulting team helped us avoid six months of trial and error. They knew exactly what pitfalls to avoid and which approaches would scale.”
“We evaluated five RAG solutions. RKIV was the only one that could handle our 500TB data warehouse without compromising on accuracy or speed.”
Ready to transform your enterprise data?
Whether you want a turnkey platform or expert guidance for your internal build, we're here to help.
What to expect
Prefer email? Reach us at hello@rkiv.ai