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The Problem
RAG Is Hard.
Really Hard.
Building retrieval-augmented generation from scratch means juggling dozens of moving parts. Most teams give up or ship something unreliable.
Infrastructure Complexity
Vector databases, embedding models, chunk strategies, retrieval pipelines — each piece requires separate expertise and maintenance.
Months of Engineering
Building a production-grade RAG system from scratch takes 3-6 months of dedicated engineering before you see your first accurate result.
Constant Maintenance
Model upgrades, index rebuilds, prompt tuning, citation accuracy monitoring — the work never stops even after launch.
Unreliable Answers
Without proper grounding and citation chains, RAG systems hallucinate. Your users lose trust fast when answers lack sources.
Capabilities
Everything You Need
For Production RAG
From document ingestion to grounded answers — a complete platform so you can focus on your product, not your pipeline.
Document Vault
Upload PDFs, DOCX, HTML, Markdown and 50+ formats. Automatic page extraction, table-of-contents detection, and semantic tree indexing.
Smart Retrieval
Hybrid search combining semantic vectors and keyword matching. Namespace-scoped retrieval with configurable chunk strategies.
Grounded Citations
Every answer comes with traceable citations back to exact document pages and paragraphs. No hallucination, full transparency.
Real-time Streaming
Stream answers token-by-token with live citation annotations. Sub-200ms first-token latency for responsive user experiences.
REST & SDK
Full REST API with OpenAPI spec. Drop-in SDKs for JavaScript, Python, and cURL. API key management with scoped permissions.
Control Plane
Monitor ingestion jobs, inspect query traces, manage namespaces, and track usage — all from a single dashboard.
How It Works
Three Steps to
Production RAG
Upload Documents
Drag and drop your files into the Vault. Vika automatically extracts pages, detects structure, and builds a semantic tree index.
Configure Pipeline
Choose your embedding model, chunk strategy, and retrieval parameters. Or use our smart defaults — they work great out of the box.
Query With Citations
Ask questions via the dashboard or API. Get streaming answers with grounded citations that trace back to exact document sources.
The Dashboard
See Your Pipeline
In Action
Monitor ingestion, inspect query traces, browse documents, and manage everything from a single control plane.
Integrations
Works With Your Stack
Bring your own models, vector stores, and document formats. Vika integrates with the tools you already use.
File Formats
LLM Providers
Vector Stores
Pricing
Simple, Transparent
Pricing
Start free, scale as you grow. No hidden fees, no surprise bills.
Starter
For individuals exploring RAG capabilities.
- 1 namespace
- 100 documents
- 1,000 queries/month
- Community support
- REST API access
Pro
For teams building production applications.
- 10 namespaces
- Unlimited documents
- 50,000 queries/month
- Priority support
- Custom embedding models
- Advanced analytics
Enterprise
For organizations with custom requirements.
- Unlimited namespaces
- Unlimited everything
- Custom SLA
- Dedicated support
- On-premise deployment
- SSO & audit logs
Testimonials
Trusted by Builders
“We replaced 3 months of pipeline engineering with a single Vika integration. Our support bot went live in days instead of quarters.”
Minh Tran
CTO, TechStart Vietnam
“The citation accuracy is what sold us. Our legal team needed traceable sources for every generated answer — Vika delivers that out of the box.”
Linh Nguyen
Head of Engineering, LegalDoc
“We tried building RAG ourselves. After 4 months of mediocre results, Vika gave us production-quality retrieval in an afternoon.”
Duc Pham
Founder, DataFlow AI
“We replaced 3 months of pipeline engineering with a single Vika integration. Our support bot went live in days instead of quarters.”
Minh Tran
CTO, TechStart Vietnam
“The citation accuracy is what sold us. Our legal team needed traceable sources for every generated answer — Vika delivers that out of the box.”
Linh Nguyen
Head of Engineering, LegalDoc
“We tried building RAG ourselves. After 4 months of mediocre results, Vika gave us production-quality retrieval in an afternoon.”
Duc Pham
Founder, DataFlow AI
“The control plane dashboard lets our non-technical team manage document uploads and monitor query quality without bothering engineering.”
Hoa Le
Product Manager, EduTech Corp
“Sub-200ms latency on streaming queries. Our chatbot feels instant now. The API was dead simple to integrate with our existing Next.js app.”
Khanh Vo
Full-stack Developer, ChatBot.vn
“Vika handles our 10,000+ document corpus without breaking a sweat. Namespace scoping keeps our multi-tenant SaaS data perfectly isolated.”
Tuan Dao
VP Engineering, CloudDocs
“The control plane dashboard lets our non-technical team manage document uploads and monitor query quality without bothering engineering.”
Hoa Le
Product Manager, EduTech Corp
“Sub-200ms latency on streaming queries. Our chatbot feels instant now. The API was dead simple to integrate with our existing Next.js app.”
Khanh Vo
Full-stack Developer, ChatBot.vn
“Vika handles our 10,000+ document corpus without breaking a sweat. Namespace scoping keeps our multi-tenant SaaS data perfectly isolated.”
Tuan Dao
VP Engineering, CloudDocs
FAQ
Common Questions
Ready to Ship?
Start Building
In Minutes
Upload your first document, run your first query, and see grounded citations — all in under 5 minutes. No credit card required.