app
Weaviate
Weaviate stores data objects together with their high‑dimensional embeddings, enabling semantic, hybrid and retrieval‑augmented generation (RAG) queries via GraphQL or REST APIs. It can be run locally with Docker/Kubernetes, embedded in Python/JS, or used as a managed cloud service that offers a free evaluation tier and usage‑based pricing for production workloads.
What it can help with
- vector database
- semantic search
- hybrid search
- rag
- embeddings