Convosuite
  • Welcome to Convosuite
  • Authorization
  • How to Use
  • Document Loaders
  • Chat Models
  • Embeddings
  • Memory
  • Tools
    • Custom Tool
    • Zapier NLA
  • Vector Stores
    • Pinecone
    • Supabase
    • Chroma
  • Vector Management
  • 3rd Party Platform Integration
  • Migration Guide
  • Use Cases
    • Web Scrape QnA
    • Build a Lead Generation Chatbot into your website.
      • Teaching with AI
Powered by GitBook
On this page
  • .
  • Self host Prerequisite
  • Setup
  • Additional
  • Resources
  1. Vector Stores

Chroma

Chroma: The AI-native, open-source embedding database. We offer a fully managed, scalable deployment on AWS and Azure, complete with a Vector Management UI.

PreviousSupabaseNextVector Management

Last updated 1 year ago

Vector Management.

Self host Prerequisite

  1. Download & Install and

  2. Clone with your terminal

git clone https://github.com/chroma-core/chroma.git
  1. Change directory path to your cloned Chroma

cd chroma
  1. Run docker compose to build up Chroma image and container

docker-compose up -d --build
  1. If success, you will be able to see the docker images spun up:

Setup

Input
Description
Default

Document

Embeddings

Collection Name

Chroma URL

Specify the URL of your chroma instance

http://localhost:8000

  • Chroma Upsert Document - Upsert document chunks with embeddings into Chroma

  • Chroma Load Existing Index - load existing collection from Chroma

Additional

Resources

Can be connected with nodes from

Can be connected with nodes from

Chroma collection name. Refer to for naming convention

On the Chroma URL, specify

http://host.docker.internal:8000
LangChain JS Chroma
Chroma Getting Started
Document Loader
Embeddings
here
Docker
Git
Chroma's repository