On the “Getting started” pages you can find information on how to install and start using Weaviate, a set of example datasets and a range of use cases.
weaviate
- Introduction
Getting started
Architecture
- Roadmap
- Horizontal Scaling
- Storage
- Filtered Vector Search
- Resource Planning
- Binary Passage Retrieval
- Interface
Configuration
Vector Index (ANN) Plugins
Benchmarks
Modules
Retrievers & Vectorizers
Readers & Generators
Other Modules
Client libraries & CLI
Data schema
RESTful API references
GraphQL references
More resources
- FAQ
- Glossary
- Example datasets
- Example use cases
- Index types and performance
- Migration Guide
- Deprecation messages
Tutorials
- Quick start with the text2vec-contextionary module.
- How to create a schema?
- How to import data?
- How to query data?
- How to perform a semantic search?
- How to do classification?
- How to use Weaviate with your own vectors? (No modules, pure vector storage and search)
- Write great Bug Reports
- Other examples
- Example datasets
Getting started
