# Chroma
> Chroma is an open-source data infrastructure company providing a scalable, serverless platform for vector and lexical search. It is designed to help developers build AI applications by providing a fast and efficient way to store and query embeddings and metadata.
- URL: https://optimly.ai/brand/chroma
- Logo: https://logo.clearbit.com/https://www.trychroma.com
- Slug: chroma
- BAI Score: 78/100
- Archetype: Challenger
- Category: Data Infrastructure
- Last Analyzed: April 9, 2026
## Competitors
- Algolia Ai Search (https://optimly.ai/brand/algolia-ai-search)
- Pinecone (https://optimly.ai/brand/pinecone)
- Weaviate (https://optimly.ai/brand/weaviate)
## Buyer Intent Signals
Problems: Manual Vector Indexing: Building a custom retrieval system from scratch using flat files or HNSW index libraries directly. | Status Quo (Elasticsearch/Solr): Continuing to use traditional keyword-only search without semantic vector capabilities.
Solutions: open source vector database | best vector database for LLM apps | serverless vector search | enterprise hybrid search engine | chromadb documentation | SOC 2 compliant AI data storage | PostgreSQL/PGVector: Using PGVector with an existing PostgreSQL database to store and query embeddings.
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## Full Details / RAG Data
### Overview
Chroma is listed in the AI Directory.
Chroma is an open-source data infrastructure company providing a scalable, serverless platform for vector and lexical search. It is designed to help developers build AI applications by providing a fast and efficient way to store and query embeddings and metadata.
### Metadata
| Field        | Value |
|--------------|-------|
| Name         | Chroma |
| Slug         | chroma |
| URL          | https://optimly.ai/brand/chroma |
| Logo         | https://logo.clearbit.com/https://www.trychroma.com |
| BAI Score    | 78/100 |
| Archetype    | Challenger |
| Category     | Data Infrastructure |
| Last Analyzed | April 9, 2026 |
| Last Updated | 2026-05-03T16:32:32.748Z |
### Verified Facts
- Founded: 2022
- Headquarters: San Francisco, CA
### Competitors
| Name | Profile |
|------|---------|
| Algolia Ai Search | https://optimly.ai/brand/algolia-ai-search |
| Pinecone | https://optimly.ai/brand/pinecone |
| Weaviate | https://optimly.ai/brand/weaviate |
### Buyer Intent Signals
#### Problems this brand solves
- Manual Vector Indexing: Building a custom retrieval system from scratch using flat files or HNSW index libraries directly.
- Status Quo (Elasticsearch/Solr): Continuing to use traditional keyword-only search without semantic vector capabilities.
#### Buyers search for
- open source vector database
- best vector database for LLM apps
- serverless vector search
- enterprise hybrid search engine
- chromadb documentation
- SOC 2 compliant AI data storage
- PostgreSQL/PGVector: Using PGVector with an existing PostgreSQL database to store and query embeddings.
### Links
- Canonical page: https://optimly.ai/brand/chroma
- JSON endpoint: /brand/chroma.json
- LLMs.txt: /brand/chroma/llms.txt