Weaviate
- Category
- Databases and data
- Docs outline
- 14 sections
Official docs outline
docs.weaviate.io- Concepts Overview
Core ideas behind Weaviate: collections, objects, vectors and modules.
- Data Structure
Collections, objects, properties, IDs and cross-references.
- Vector Indexes
HNSW, flat and dynamic indexes and their tradeoffs.
- Vector Quantization
PQ, BQ, SQ and RQ compression of vectors.
- Search Concepts
Vector, keyword (BM25) and hybrid search, and ranking.
- Hybrid Search
Fusion methods and alpha weighting of vector and keyword results.
- Filters
Property filters and filtering concepts.
- Model Providers and Vectorizers
Integrated embedding and generative model integrations.
- Collection Configuration
Collection definitions, property types, tokenization and index settings.
- Multi-Tenancy
Tenant isolation inside a collection and tenant states.
- Replication and Consistency
Replication, consistency levels and cluster architecture.
- Cluster and Resources
Nodes, shards and resource planning.
- Authentication and RBAC
API keys, OIDC authentication and role-based access control.
- Backups
Backing up and restoring collections.
Each section links to the official page. Titles and summaries by Extra Credit; the docs belong to their authors.
