Connect
Write documents, upload files or connect an app. Each lands in a namespace.
Context infrastructure
Conare searches all of your company's data and puts the right answer first. Built for accuracy, and measured on public benchmarks.
Context
How it works
Write documents, upload files or connect an app. Each lands in a namespace.
A changed record replaces its old version. A deleted one is deleted.
Keyword and vector search find candidates. The reranker puts the best first.
Your model gets the passages that answer the question, with their source.
Quickstart
Conare chunks, embeds and indexes on write, keeps your data updated in real time, and reranks every query.
import { Conare } from "conare";
const docs = new Conare().namespace("docs");
await docs.add({ text: "EU checkout broke after a key rotation." });
const [top] = await docs.query("why did checkout break?");
console.log(top.score, top.text);Output
0.91 EU checkout broke after a key rotation.Products
Use the platform end to end, or call the models on their own.
namespaces
Write documents or upload files into a namespace. Each query runs keyword and vector search, filters on metadata and reranks the results.
Docs →sources
Connect HubSpot, Gmail, Slack and more. New and changed records are written, and deleted ones are deleted.
Docs →POST /parse
PDF, Word, PowerPoint, Excel, CSV and images, with OCR for scanned pages. Nothing is stored.
Docs →conare-embed-1
Separate models for documents and queries, through an OpenAI-compatible endpoint.
Docs →conare-rerank-1
Scores each passage against the query, best first. On in every query, or on its own through a Cohere-compatible endpoint.
Evals →Docs →Sources
Each source keeps one app in sync with a namespace, on its own schedule.
Sources
Operations
Conare runs the database, the models and the sync. You don't patch servers, rebuild indexes or plan capacity before a launch.
What you don't manage
Benchmarks
conare-embed-1 and conare-rerank-1 on public benchmarks against the best models on each, Claude Opus 5.5 and GPT-6 Sol included.
ViDoRe v3, embedding
67.0
nDCG@10, higher is better · #1 of 9
See the benchmark
ViDoRe v3, reranking
70.2
nDCG@10, higher is better · #1 of 10
See the benchmark
Legal case search
1.3%
% ranked wrong, lower is better · #1 of 6
See the benchmark
Several conditions at once
2.5%
% ranked wrong, lower is better · #2 of 6, level with Claude Opus 5.5
See the benchmark
Read 14 October 2026. Comparator scores are what each vendor or leaderboard published, or our run of open weights where marked.
On ViDoRe v3, conare-embed-1 scores higher than every embedding API on this chart and costs less per token than each of them.
See the benchmark →Contact
Conare is invite-only. Book a demo and we'll run your questions on your data with you.