Give your AI agents
Context that's thought through,
not looked up.
Vrin is the retrieval-time reasoning layer for AI agents. It curates the exact context an agent needs: reasoned, cited, and source-bound, before a single token is generated.
First-response resolution
Your agent lands the right answer on the first try.
Follow-up questions needed
Cited, complete context. Less back-and-forth.
Research time cut
Weeks of reading collapsed into seconds of reasoning.
Context for complex questions
Multi-hop reasoning where vector search gives up.
Themodelisn'tthebottleneck.Thecontextis.Today'sLLMscanreason,synthesize,analyzebrilliantly,butonlyoverwhatyoufeedthem.Enterprisedecisionsdemandconnectingfactsacrossteams,timelines,andformats.Three-plushopsthattransformerscan'treachnativelyandvectorsearchdoesn'tevenattempt.Vrinisthereasoninglayerthatcuratescontextbeforethemodeleverseesit.Structured,cited,time-aware.Readythemomentyouragentasks.
Three moves between a question
and a trustworthy answer.
Every source, one surface.
without the migration tax.
Point Vrin at where your knowledge already lives: Drive, Notion, Slack, SharePoint, PDFs, databases. Your team keeps working. Vrin keeps reading.
Documents become a living graph.
not a bucket of chunks.
Vrin extracts entities, relationships, and timestamped facts, each one cited back to its source. Your knowledge graph grows with every ingest and self-heals across conflicting versions.
Your agent asks. Vrin walks the graph.
three hops. one answer.
At query time, Vrin reasons across the graph, gathers the exact facts the question demands, and hands your agent a curated context pack: cited, time-aware, ready to generate.
A walkthrough of Vrin
curating live context.
Watch Vrin connect to a real knowledge base, extract facts into a living graph, and answer a multi-hop question with traced sources.
Use Vrin the way
your agent already works.
One reasoning engine, four surfaces. Swap between them without re-indexing a single document.
from vrin import VRINClient
client = VRINClient(api_key="vrin_...")
# one call. graph traversal + vector + reasoning.
result = client.query(
"How did Q4 revenue compare to Q3 across all subsidiaries?"
)
result.summary # cited, time-aware answer
result.sources # fact-level provenanceReasoned context
outperforms
retrieved chunks.
Public, reproducible evaluations against the strongest systems on the leaderboard. Same documents, same questions. Every Vrin answer traceable back to source.
Reproducibility notes & run configs → blog
Leaderboard
MultiHop-RAG
metric: Semantic Accuracy (SA)
Vrin
95.1%
ChatGPT 5.2 (Thinking) [Oracle Context]
78.9%
Multi-Meta RAG (GPT-4)
63.0%
Multi-Meta RAG (Google PaLM)
61.0%
GPT-4 Baseline
56.0%
The reasoning layer
inside every vertical agent.
One integration. Your customers get data sovereignty. You get a reasoning layer that keeps improving with every query.
Every clause, every precedent, traced.
Your agents cite the exact clause, version, and jurisdiction. Audit-grade by construction, not by hope.
Numbers you can defend.
Reasoning across filings, earnings, and market data with temporal versioning. Know what was true on any given day.
Evidence-bound clinical context.
Connect clinical notes, literature, and guidelines with fact-level provenance. Every recommendation traces to evidence.
Resolution on the first response.
Your agent walks the graph of tickets, docs, and changelogs, arriving at the right policy before anyone has to escalate.
Ask across every department.
Cross-team questions that used to require a human analyst. Now answered with the full org context, in seconds.
Building a vertical agent? Let's plug in Vrin.
OEM licensing · BYOC deployment · revenue-share available.
Start free.
Scale when your agent does.
Every plan ships with the full reasoning engine. You choose the capacity and the deployment surface.
Builder
For individuals exploring reasoning APIs.
- 100k chunks / 100k edges
- 5k queries / month
- Shared reasoning infra
- API key authentication
- Community support
Team
For product teams shipping agents with context.
- 2M chunks / 3M edges
- 100k queries / month
- Dedicated indices
- Full CBOM & TTL
- Connectors: Postgres, Drive, Notion
- Email support · 48h SLA
Enterprise
For regulated orgs with data-sovereignty requirements.
- Unlimited chunks / edges
- Custom queries, SLA-backed
- Private VPC or on-prem
- SSO · SAML · SCIM
- Data residency & audit packs
- Dedicated TAM & DSE
Every plan includes
- Multi-hop graph reasoning
- Temporal fact versioning
- Source-level provenance
- Model-agnostic LLM routing
- Cohere, Voyage, Bedrock embeddings
Security & deployment
- Hybrid cloud · BYOC or shared
- Enterprise keys never leave your VPC
- SOC 2 Type II (in progress)
- Air-gapped deployment available
- EU, US, APAC data residency
Give your agents a mind
to think with.
Three lines of code. A reasoning layer that stays with you from first query to enterprise-scale deployment.