The retrieval layer
for production AI agents.
Novexa Labs unifies your warehouses, SaaS tools and document stores behind one semantic interface, so agents can retrieve grounded context, cite sources, and act on live data with sub-second latency.
SOC 2 Type II · GDPR ready · Deploy in your VPC or ours
Context is the bottleneck. We removed it.
Most agent pilots stall at the same place: reliable, permission-aware access to real company knowledge. Novexa handles the plumbing so your engineers can ship.
120+ native connectors
Snowflake, BigQuery, Postgres, S3, Confluence, Notion, Salesforce, Slack and more — incremental sync with change data capture.
Permission-aware by design
Row-level ACLs propagate from the source system. An agent never surfaces a document the requesting user could not open itself.
38 ms median retrieval
Hybrid vector plus lexical search on a purpose-built index. Streamed context keeps time-to-first-token under a second.
Eval harness included
Version your retrieval config, replay golden question sets, and gate releases on groundedness and citation accuracy.
Runs where you run
Single-tenant deployment inside your VPC, in the EU region, or fully air-gapped for regulated environments.
Observable by default
Trace every retrieval, token, cost and citation. Pipe it to Datadog or OpenTelemetry without extra instrumentation.
Ship in an afternoon, not a quarter.
Point Novexa at your data, describe what good retrieval means, and call one endpoint from your agent framework of choice.
- Typed SDKs for Python, TypeScript and Go
- Drop-in integrations for LangGraph, LlamaIndex and the OpenAI Agents SDK
- Streaming responses with inline citations you can render directly
- Deterministic re-ranking policies versioned alongside your code
from novexa import Client client = Client(api_key=os.environ["NOVEXA_KEY"]) ctx = client.retrieve( query="renewal terms for enterprise tier", scope="workspace:acme-legal", top_k=8, as_of="2026-09-30", # point-in-time ) for chunk in ctx.chunks: print(chunk.text, chunk.citation.url) # 8 chunks · 41 ms · 0 ACL violations
How Halcyon cut agent hallucination by 71%
“We had six internal agent pilots and none of them could answer a question about a contract without inventing a clause. Novexa gave us grounded retrieval with citations in three weeks. The pilots became one product.”
Dana Whitfield · VP Engineering, Halcyon
Put your data behind your agents.
A 30-minute technical walkthrough with an engineer, on your own data shape. No slide deck.