Context infrastructure

Everything your agents need to know.

Conare searches all of your company's data and puts the right answer first. Built for accuracy, and measured on public benchmarks.

Context

  • Documents
  • Files
  • Apps

How it works

Connect. Sync. Retrieve. Deliver.

01

Connect

Write documents, upload files or connect an app. Each lands in a namespace.

02

Sync

A changed record replaces its old version. A deleted one is deleted.

03

Retrieve

Keyword and vector search find candidates. The reranker puts the best first.

04

Deliver

Your model gets the passages that answer the question, with their source.

Quickstart

Add a document. Query it.

Conare chunks, embeds and indexes on write, keeps your data updated in real time, and reranks every query.

$ npm install conare
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

Everything retrieval needs, behind one key.

Use the platform end to end, or call the models on their own.

02

sources

Sync

Connect HubSpot, Gmail, Slack and more. New and changed records are written, and deleted ones are deleted.

Docs →
03

POST /parse

Parse

PDF, Word, PowerPoint, Excel, CSV and images, with OCR for scanned pages. Nothing is stored.

Docs →
04

conare-embed-1

Embed

Separate models for documents and queries, through an OpenAI-compatible endpoint.

Docs →
05

conare-rerank-1

Rerank

Scores each passage against the query, best first. On in every query, or on its own through a Cohere-compatible endpoint.

Evals →Docs →

Sources

Connect the apps your team already uses.

Each source keeps one app in sync with a namespace, on its own schedule.

Sources

  • Gmail
  • Slack
  • Notion
  • Linear
  • GitHub
  • Granola
  • Twenty
  • GCS
  • HubSpot
  • Salesforce
  • Attio
  • Affinity
  • Google Sheets
  • and more

Operations

Nothing to run.

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

  • Servers, shards and index tuning
  • Embedding and reranking models
  • Sync jobs for every app
  • Separating each organization's data
  • Deleting a user: one call removes everything Conare holds of them

Benchmarks

Accuracy you can check.

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.

See every eval →

Read 14 October 2026. Comparator scores are what each vendor or leaderboard published, or our run of open weights where marked.

Most accurate, and the cheapest.

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 →
56606468$0.05$0.10$0.20$0.50$1.00$2.00up and to the left is betternDCG@10price per 1M tokens, log scaleconare-embed-1 · 67.0 · $0.10voyage-4-large · 60.6 · $0.12gemini-embedding-2 · 58.7 · $0.20Mixedbread, page images · 64.2 · $1.50Mixedbread, page text · 62.3 · $1.50
List prices per 1M tokens. Mixedbread publishes no embedding price; its $1.50 is indexing per 1M content tokens. Perplexity's open 9B has no API price, so it isn't plotted.

Contact

See it on your own data.

Conare is invite-only. Book a demo and we'll run your questions on your data with you.