Chroma: artificial intelligence features and setup

Overview

Chroma suits a team that wants a vector store close to its code, especially when prototyping model retrieval. It is search infrastructure for AI applications, not a complete document management system. Before moving to production, check backups, permissions, and separation between customer data. A local store that is convenient for development may be too limited as the volume of documents grows and each customer's data needs to be restored separately in a reliable way.

Features

• A vector store for AI applications
• Similarity search to retrieve context for a model
• Open source for local or hosted use

Business uses

• Prototype a knowledge base for an internal agent
• Retrieve guide passages before responding to a user

Getting started

• Load a few files and check one known query.
• Check what is returned when no passage matches.
• Plan separate collections before using real customer data.

What to check

• Check the backup and restore process before operational use.
• Do not mix different customers' stores in one collection without clear access separation.