Pinecone's Vectors Know Everything Indexed. You.com Covers Everything Else.

Pinecone's engineering teams run the default vector database for production RAG, giving conversational AI and internal assistants fast, high-throughput retrieval over private knowledge bases at enterprise scale. You.com gives them a single enterprise-grade AI search layer. It's real-time, cited, and built to complete the other half of RAG—the open web—alongside whatever's already indexed in Pinecone.

Powering web search for leading enterprises.

Tailored to find, synthesize and ship.

Used to power AI systems, AI Agents, research tools, data pipelines, and more for Pinecone’s engineering and product teams.

Search API

Take advantage of the world’s best Search API, delivering real-time results at record speed.

from youdotcom import You

with You("<apiKey>") as you:
    res = you.search.unified(
        query="best practices for scaling microservices architecture in production",
    )

    # Each result contains a title, URL, snippets and more
    if res.results and res.results.web:
        for result in res.results.web:
            print(f"Title: {result.title}")
            print(f"URL: {result.url}")
            if result.snippets:
                print(f"Snippet: {result.snippets[0]}\n")

Contents API

Fetch full page content for multiple URLs, streamlining content aggregation and analysis across various sources.

from youdotcom import You
from youdotcom.models import ContentsFormats

with You("<apiKey>") as you:
    res = you.contents.generate(
        urls=[
            "https://www.python.org",
            "https://www.example.com",
        ],
        formats=[ContentsFormats.HTML],
    )

    # Access the full page content in your chosen format
    for page in res:
        print(f"Title: {page.title}")
        print(f"HTML: {page.html}...")

Research API

Our tiered Research API—#1 in DeepSearchQA—pushes the frontier of accuracy and latency across both simple and complicated tasks.

from youdotcom import You
from youdotcom.models import ResearchEffort
 
you = You(api_key_auth="api_key")
 
res = you.research(
    input="Which global cities improved air quality the most over the past 10 years, and what measurable actions contributed?",
    research_effort=ResearchEffort.LITE,
)
 
print(res.output.content)
 
for i, source in enumerate(res.output.sources, 1):
    print(f"[{i}] {source.title or 'Untitled'}: {source.url}")

Finance Research API

Our Finance Research API delivers cited, source-reconciled financial intelligence across filings, macro data, and multi-step calculations. No infra required.

import requests

url = "https://api.you.com/v1/finance_research"
headers = {
    "X-API-Key": "<YOUR_API_KEY>",
    "Content-Type": "application/json",
}
payload = {
    "input": "Compare the free cash flow generation and capital allocation strategies of Apple, Microsoft, and Alphabet over the past three fiscal years",
    "research_effort": "deep",
}

response = requests.post(url, headers=headers, json=payload)
response.raise_for_status()
data = response.json()

print(data["output"]["content"])

for i, source in enumerate(data["output"]["sources"], 1):
    print(f"[{i}] {source.get('title') or 'Untitled'}: {source['url']}")

99.9%

Uptime SLA & white-glove enterprise support

GDPR & CCPA

Supports compliance across jurisdictions

100K+

API customers to date

BrowseComp complex retrieval

Pinecone's RAG engineering workflows

See How It Works

You.com pairs vector search over private data with live, cited web retrieval for the same RAG pipelines, giving conversational AI and internal assistants current information beyond what's been indexed, and matching the enterprise security and reliability bar Pinecone Enterprise customers already expect.