Weaviate
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rag-retrieval
self-hosted
freemium
open source
vector-database
embeddings
search
rag
API
Overview
Added 03-13-2026
Weaviate turns your messy unstructured data into a searchable AI database that actually understands context. Instead of juggling separate vector databases, embedding services, and search tools, everything lives under one roof. AI engineers building search, RAG, or agent apps can skip the infrastructure headaches and ship features faster.
Key Features
- Handles embeddings automatically so you skip ML ops
- Scales to billions of vectors without breaking sweat
- Works with Python, Go, TypeScript out of box
- Pre-built agents that actually improve your data quality
- Hybrid search combines keywords with semantic understanding
Use Cases
- Build ChatGPT-style apps grounded in your company data
- Search support tickets by meaning not just keywords
- Create smart product recommendations that understand context
- Turn customer documents into queryable knowledge bases
- Build AI agents that remember previous conversations
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