← Back to Directory
✨
Weaviate
LLM Orchestrators
Overview
An open-source vector database that allows developers to store data objects and vector embeddings from their favorite ML models. It features hybrid search and integrated multi-modal capabilities.
Weaviate is an open-source vector database with hybrid (vector + keyword) search and multimodal support, letting teams store objects and embeddings together. It is flexible, self-hostable, and offers a managed cloud. It targets developers building AI search and RAG systems who want openness and hybrid retrieval.
Key Features
- Open-source vector database
- Hybrid vector + keyword search
- Multimodal capabilities
- Self-hosted or managed cloud
- GraphQL and REST APIs
Best For
Developers who want an open, hybrid-search vector database for AI search and RAG.
Pros & Cons
Pros
- Open-source and flexible
- Strong hybrid search
- Self-host or cloud
Cons
- Self-hosting needs ops
- Tuning required for scale
Advertisement
Pulse Verdict
“The versatile vector powerhouse. Weaviate's open-source nature and hybrid search capabilities make it a top choice for developers building complex AI search systems.”
Pricing
Open-source self-host; managed cloud billed by usage.
Pricing changes often — confirm current plans on the official site.