Weaviate
Weaviate is a cloud-based open source vector database that provides scalable semantic search by storing objects and vectors together. It combines vector similarity search with keyword filtering, RAG and reordering in a single query interface. Through integration models, it can perform automatic vectoring during import, or import the precalculated vector embeddings directly.
Weaviate
100weaviate · Databases & Vector Infrastructure
Common commercial products in this category: Oracle Database, Microsoft SQL Server, Amazon Aurora
- You can perform semantic and visual search through a single query interface.
- You can install retrieval-augmented generation (RAG) systems on the data.
- You can develop recommendation engines by importing precalculated vector embeddings.
- • High number of open issues (823)
- ↑ PositiveHacker News
Show HN: Weaviate – Build your own generative health search engine
“Weaviate is pretty cool IMO. It is open source and fairly easy* to get this running locally and do stuff with it. Definitely worth playing with. In the past I have done a search-type thing for a side project and used Elastic Search. While I think ES is great, it might be…”
- ↓ NegativeHacker News
Show HN: Weaviate – Build your own generative health search engine
“The near-bot responses from people who do not clearly identify that they work at this company are very frustrating. This feels like using HN for manufactured marketing campaigns. For instance, Take CShorten's last two responses to threads that do not clearly identify that they…”