> ## Documentation Index
> Fetch the complete documentation index at: https://docs.baseplate.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# 🍽️ Baseplate (YC W23)

> Backend-as-a-Service for LLM Apps

Baseplate is a backend optimized for LLM apps. Teams use our multimodal context
database to build rich user experiences with LLMs. All from an interface as
simple as a spreadsheet. That means you don't have to maintain and manage
separate databases for your vectors and regular data anymore!

<Frame caption="Hybrid database for your regular data and your embeddings">
  <img src="https://mintcdn.com/baseplate/lG0F4fZdc5qZCcZP/images/intro.png?fit=max&auto=format&n=lG0F4fZdc5qZCcZP&q=85&s=c137f911515d1e4dffcc9a6526885706" width="4024" height="2218" data-path="images/intro.png" />
</Frame>

Using Baseplate, a team can deploy a chat GPT app that responds with
domain-specific information from documents, thumbnails, links, images, and more.
(Who knows, maybe the next GPT model is multimodal too)

## Why would we need this?

In most applications, LLMs need to be connected to an ever changing set of data.
It’s simple enough to parse and embed a few PDF’s. However, managing this data
is tedious when you’re working with large, multimodal datasets that consistently
need to be updated, re-indexed, and replaced.

Plus you’re likely managing multiple databases - one for vectors, and one for
your other data. This gets painful really fast.

## Key Features:

1. A flexible hybrid database. A single dataset in Baseplate can contain
   * Embeddings
   * Text
   * Code
   * Documents
   * Images
   * Links
2. Database management
   * Sync datasets with your tools (Google Drive, S3, Box, Sharepoint, etc.)
   * Utilities for updating and managing vectors in bulk
   * Organize and segment your data intuitively
   * Work in the UI or programmatically via API
3. Smart Search
   * Choose an embedding model for your use case, tailored for your documents
   * Multi-step Search. Retrieve context from multiple datasets within an app.
   * Use keyword, semantic, or hybrid search
   * Retreive whole documents or just relevant chunks
4. App Builder
   * Choose between a number of popular LLMs
   * Build a custom prompt for your use case
   * Test and deploy your app without any code
5. Endpoints
   * One-click Slackbots, Discord Bots, Teams Bots, and more!
   * Build, test, and deploy your Apps via API endpoints
   * Unlimited queries
   * Built-in utilities for human feedback, logging, & caching