chroma

What problem does it solve?

This Skill provides a robust, open-source solution for storing and querying vector embeddings, enabling efficient semantic search and retrieval for AI applications.

Core Features & Use Cases

• Vector Storage: Store embeddings generated from text or other data.
• Semantic Search: Perform similarity searches to find relevant information based on meaning.
• RAG Applications: Power Retrieval Augmented Generation by providing context to LLMs.
• Use Case: Integrate Chroma into a chatbot to allow it to recall past conversations or relevant documents for more informed responses.

Quick Start

Use the chroma skill to create a new collection named 'my_documents' and add the provided text documents to it.