Framework
Weaviate
Weaviate is an open-source AI framework, launched in 2016, made for developers and businesses.
A vector database that combines vector search with keyword filtering in one query.
Main jobs: Vector search. It is open source and free to use. You can use it on your own server, through an API and offline on your own machine.
Markdown version of https://godooo.ai/en/framework/weaviate. Every page on this site has one: add .md to its address.
At a glance
- Type
- Framework
- Launched
- 2016
- Galaxy
- Models & APIs
- Open source
- Yes
- Source code
- github.com/weaviate/weaviate
- GitHub stars
- 16,841
- How you run it
- Self-host · API · Runs offline
- Made for
- Developers · Businesses
- Website
- weaviate.io
What it can do
Vector searchmain jobunconfirmed
“Weaviate is an open-source vector database designed to store and index both data objects and their vector embeddings.”— docs.weaviate.io, 2026-09-24
Embeddingssupportedunconfirmed
“Weaviate supports two approaches to store vectors: automatic vectorization at import using integrated models (OpenAI, Cohere, HuggingFace, and others) or direct import of pre-computed vector embeddings.”— github.com, 2026-09-24
Knowledge base (RAG)supportedunconfirmed
“Weaviate can serve as a robust backend for RAG workflows, where vector search is used to retrieve context that enhances the output of generative models”— docs.weaviate.io, 2026-09-24
unconfirmedproposed by a machine, awaiting calibration
Alternatives
- MilvusOpen source, freeAlso does: Vector search, Knowledge base (RAG)
- QdrantOpen source, freeAlso does: Vector search, Knowledge base (RAG)
- LanceDBOpen source, freeAlso does: Vector search, Knowledge base (RAG)
- Chroma MCP ServerOpen source, freeAlso does: Vector search, Knowledge base (RAG)
- LlamaIndexOpen source, freeAlso does: Knowledge base (RAG), Vector search
- RAGFlowOpen source, freeAlso does: Knowledge base (RAG), Vector search
- BGEOpen source, freeAlso does: Embeddings, Vector search
- ChromaOpen source, freeAlso does: Vector search
- FaissOpen source, freeAlso does: Vector search
- HaystackOpen source, freeAlso does: Knowledge base (RAG), Vector search
- LightRAGOpen source, freeAlso does: Knowledge base (RAG), Vector search
- pgvectorOpen source, freeAlso does: Vector search
Connections
- Applies
- Vector Database
Questions
What is Weaviate?
Weaviate is an open-source AI framework, launched in 2016, made for developers and businesses. A vector database that combines vector search with keyword filtering in one query.
Is Weaviate free?
Yes. Weaviate is open source and free to use.
Is Weaviate open source?
Yes. The source code is at https://github.com/weaviate/weaviate.
Can Weaviate run locally?
Yes. Weaviate can run offline on your own machine. It can also be self-hosted on your own server.
What can Weaviate do?
Main jobs: Vector search. It can also do: Embeddings, Knowledge base (RAG).
What are open-source alternatives to Weaviate?
Open-source ones: Milvus, Qdrant, LanceDB, Chroma MCP Server, LlamaIndex, RAGFlow, BGE and Chroma.
Sources
- docs.weaviate.io/weaviatechecked 2026-09-24
- github.com/weaviate/weaviatechecked 2026-09-24
- weaviate.io/developers/weaviate