Store and retrieve embeddings with metadata using a vector database.
npx skills add https://github.com/handsomelong922/my-codex-skills --skill chroma-handsomelong922
Please help me install this Agent Skill. Skill: chroma Source: https://github.com/handsomelong922/my-codex-skills/tree/main/skills/chroma Command: npx skills add https://github.com/handsomelong922/my-codex-skills --skill chroma-handsomelong922
Open-source vector databases solve the challenge of storing high-dimensional embeddings and metadata for AI applications, enabling fast similarity search and scalable memory across projects.
Install the chromadb package and create a collection to begin storing embeddings and metadata.
High-intent search queries and answers about installing and using this skill.
Store and retrieve embeddings with metadata using an open-source vector database. You can apply it to local development, notebooks, and production deployments for fast similarity search and document retrieval.
An open-source vector database is used for storing high-dimensional embeddings and metadata in RAG pipelines. It enables fast similarity search and scalable memory across AI applications.
Filter document retrieval results by metadata using a simple 4-function API. The vector store supports vector and full-text search alongside metadata filtering to narrow down retrieved documents.
Yes, you can use this open-source vector database for local notebooks and production deployments. It supports persistent storage to maintain your embeddings and metadata across different environments.
Yes, the vector store supports both full-text search and semantic vector search. You can perform either search method and apply metadata filtering to refine the retrieved results.
Estrella-231Generate low-dimensional embeddings from high-dimensional datasets with sklearn-style fit/transform workflows.
ArieGoldkinIntegrate LLMs, RAG pipelines, vector databases, and agentic workflows.
48Nauts-OperatorCompare embedding models and design pipelines for semantic search and RAG.
cloudlinessHost a scalable managed vector database for similarity search.
