chroma Skill
Embedding database for RAG and semantic search. Published by NousResearch in hermes-agent.
Decision snapshot
Is this a fit?
Database workflows, Deployment, Research, Includes SKILL.md
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Copy skill directory
21 days ago · MIT license
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What is chroma Skill?
Embedding database for RAG and semantic search. Published by NousResearch in hermes-agent. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Database workflows
- Deployment
- Research
- Database workflows use cases
- Deployment use cases
Declared skill metadata
- Declared author: Orchestra Research
- Declared license: MIT
- Source file: optional-skills/mlops/chroma/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use chroma Skill
- Use it for database workflows.
- Use it for deployment.
- Use it for research.
Built with
Editorial notes
Source
- Creator: NousResearch
- Repository: NousResearch/hermes-agent
- Skill file: optional-skills/mlops/chroma/SKILL.md
What it does
Embedding database for RAG and semantic search.
Skill instructions
Chroma - Open-Source Embedding Database The AI-native database for building LLM applications with memory. When to use Chroma Use Chroma when: - Building RAG (retrieval-augmented generation) applications - Need local/self-hosted vector database - Want open-source solution (Apache 2.0) - Prototyping in notebooks - Semantic search over documents - Storing embeddings with metadata Metrics: - 24,300+ GitHub stars - 1,900+ forks - v1.3.3 (stable, weekly releases) - Apache 2.0 license Use alternatives instead: - Pinecone: Managed cloud, auto-scaling - FAISS: Pure similarity search, no metadata - Weaviate: Production ML-native database - Qdrant: High performance, Rust-based Quick start Installation bash Python pip install chromadb JavaScript/TypeScript npm install chromadb @chroma-core/default-embed Basic usage (Python) python import chromadb Create client client = chromadb.Client() Create collection collection = client.createcollection(name="mycollection") Add documents collection.add( docume
Verified compatibility and discovery
Frequently asked questions
What is chroma?
chroma is a open-source AI agent skill with Copy skill directory. Embedding database for RAG and semantic search.
Who is chroma best for?
chroma is best for reusing agent instructions, scripts, and references, database workflows, deployment workflows, research workflows.
How do I install chroma?
Install or run chroma using Copy skill directory. Check chroma for the latest setup command.
Is chroma actively maintained?
chroma may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
