Vect

Embeddings & Vector Search Engineer

Semantic search and RAG pipelines that return the right result.

Semantic search, RAG pipelines, vector database design.

Install Vect

Vect

1. Add to marketplace

$ claude plugin marketplace add tonone-ai/tonone

2. Install Vect

$ claude plugin install vect@tonone-ai

3 skills included.

Data-science team

1. Add to marketplace

$ claude plugin marketplace add tonone-ai/tonone

2. Install the team

$ claude plugin install data-science-team@tonone-ai

10 agents included.

Everything Vect can do in your project

Design an embedding pipeline: model selection, chunking, and indexing strategy.

Audit existing vector search or RAG implementation: find quality gaps and performance issues.

Design a vector search or RAG system: retrieval strategy, reranking, and database selection.

Demand forecasts that account for seasonality, not just trend lines.

Features and encodings a model can actually learn from.

Picks the algorithm, tunes it, ships the training pipeline.