# Chroma Data Store

Give your skill the ability to store and retrieve data from a Chroma database.

## Running Chroma

1. Clone this rep
2. Run `yarn start.chroma.docker`

## Setting an embedding model

By default , the ChromaDabatase class will use llama3.2 hosted through Ollama to generate embeddings

### Installing Ollama

1. Visit https://ollama.com
2. Click "Download"
3. Select your OS

### Installing Llama3.2

Llama 3.2 is the newest version of Llama (as of this writing) that supports embeddings.

1. Inside of terminal, run `ollama run llama3.2`
2. You should be able to visit http://localhost:11434/api/embeddings and get a 404 response (this is because the route only accepts POST requests)

## Improving embeddings with `nomic-embed-text`

We have seen significantly better search performance when using `nomic-embed-text` to generate embeddings.


## Connecting to Chroma

Use the connection string: `chromadb://localhost:8000` is your skill.


A data store adapter for Chroma (vectordb). 

See how Anthropic automated 95% of dependency reviews with Socket

@sprucelabs/chroma-data-store

A data store adapter for Chroma (vectordb)

chroma-data-store

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@sprucelabs/chroma-data-store

Chroma Data Store

Running Chroma

Setting an embedding model

Installing Ollama

Installing Llama3.2

Improving embeddings with `nomic-embed-text`

Connecting to Chroma

Keywords

Related posts

@sprucelabs/chroma-data-store

Chroma Data Store

Running Chroma

Setting an embedding model

Installing Ollama

Installing Llama3.2

Improving embeddings with nomic-embed-text

Connecting to Chroma

Keywords

Related posts

Lazarus Strikes npm Again with New Wave of Malicious Packages

The Pair Program Podcast: Feross Aboukhadijeh on Preserving Trust in Open Source

Improving embeddings with `nomic-embed-text`