Pine is a powerful, reliable API platform that
enriches language models with real-time
information.
Should I wear a jacket in London today?
Without Pine
Since my knowledge was last updated in
April 2024, I can't tell you today's
weather in London to make a specific
recommendation. I'd suggest checking a
current weather app.
With Pine :)
Yes, you should wear a jacket today. The
current temperature is 37°F, and the
weather is mostly clear. The wind is
blowing South at 4 mph, with gusts up to
10 mph.
How does it work?
1.
User Question:
The assistant receives a natural language
question like “Should I take a jacket in
London today?”
2.
Get Context:
Pine analyzes the question and returns
relevant real-time conext, with sources, as
LLM-ready text.
3.
Combine with LLM:
The context is passed along with the
original question back to the LLM, which
generates a natural and accurate response.
Real Time
Pine delivers real-time context to your LLM
without delay. Your AI stays current with
live data from weather, sports, news, and
more.
Accurate
Pine reduces hallucinations by grounding LLM
responses in current facts. Every response
is backed by reliable, sourced information.
Sourced
Pine includes source information with all
context data, so your users can see where
each data point comes from.
Use Your Own Model
Pine returns context as simple text, making
it compatible with any LLM. Use it with your
existing model and workflow.
Pricing
$20/month includes 2,000 requests.
Additional requests are priced at $1 per 100
($0.01/req).