# Weaviate: workflows, use cases, and stacks

> Open-source vector database for AI search, RAG applications, and semantic data retrieval.

- Canonical: https://gptnavi.com/tools/weaviate
- Official website: https://weaviate.io
- Category: Vector database
- Pricing model: Open source
- Has free plan: Yes
- Last materially updated: 2026-08-19
- Best for: AI builders, Developers, Data teams
- Tags: vector-database, open-source, rag

## Quick answer

Weaviate is a open source vector database option best suited to AI builders, Developers, Data teams. In the GPTNavi catalog it connects to 1 workflows and 1 compatible stacks.

## Workflows using Weaviate

- [Prepare messy documents for a RAG knowledge base](https://gptnavi.com/workflows/messy-documents-to-rag-knowledge-base) — Parse messy docs, clean chunks, choose a vector database, and create a testable retrieval workflow.

## Compatible stacks

- [AI Data and RAG Builder Stack](https://gptnavi.com/stacks/ai-data-rag-builder-stack) — A technical stack for preparing messy documents, web data, retrieval stores, and AI workflows for useful internal assistants.

## Nearby tools in the same category

- [Pinecone](https://gptnavi.com/tools/pinecone)