chroma
Category: knowledge-and-rag · License: MIT · Version: 1.0.0
Tags: RAG, Chroma, Vector Database, Embeddings, Semantic Search, Open Source, Self-Hosted, Document Retrieval, Metadata Filtering
When to use it
Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG applications, or document retrieval. Best for local development and open-source projects.Example requests
Ask your agent in plain language, for example:- “How do I set up a local Chroma DB for my paper embeddings?”
- “I’m building a RAG pipeline over 4,000 PDF methods sections saved in ./papers/. I chunked them into ~500-token pieces and call collection.add(documents=chunks, ids=ids) with chromadb 1.3.3, but I get ‘DuplicateIDError’ halfway through and my notebook loses everything on restart. How do I fix both?”
- “I have about 20k abstracts from our lab’s literature collection and want to find the ones related to a question I type in plain English. I’d like it to run on my laptop, be free and open source, let me restrict results to papers after 2020, and not need a cloud account. What should I use and how should I set it up?”
Install
/plugin marketplace add KalarisLabs/research-agent-skills and install the whole knowledge-and-rag category with /plugin install knowledge-and-rag@research-agent-skills.