weaviate / weaviate-examplesLinks
Weaviate vector database – examples
☆327Updated 3 months ago
Alternatives and similar repositories for weaviate-examples
Users that are interested in weaviate-examples are comparing it to the libraries listed below
Sorting:
- Awesome Weaviate☆84Updated 10 months ago
- The definitive guide to using Vector Search to solve your semantic search production workload needs.☆273Updated 2 years ago
- Visual and semantic vector similarity with Redis Stack, FastAPI, PyTorch and Huggingface.☆172Updated 8 months ago
- Here you can find all the Tutorials for Haystack 📓☆345Updated 2 weeks ago
- Explore vector similarity in Redis☆115Updated 2 years ago
- ☆180Updated 2 years ago
- Discover Healthsearch: Unlocking Health with Semantic Search ✨☆176Updated 2 years ago
- Demo of the neural semantic search built with Qdrant☆177Updated 6 months ago
- Fully working applications that demonstrate how to use Haystack to implement various use cases☆134Updated last month
- VectorFlow is a high volume vector embedding pipeline that ingests raw data, transforms it into vectors and writes it to a vector DB of y…☆695Updated last year
- A python native client for easy interaction with a Weaviate instance.☆210Updated this week
- ☆206Updated last year
- A voice-enabled chatbot application built using of 🦜️🔗 LangChain, text-to-speech, and speech-to-text models from 🤗 Hugging Face, and …☆194Updated 2 years ago
- A Python vector database you just need - no more, no less.☆632Updated last year
- Search through the Weaviate Podcast!☆59Updated 11 months ago
- Examples on how to use LangChain and Ray☆231Updated 2 years ago
- 📚 Datasets and models for instruction-tuning☆237Updated 2 years ago
- ☆507Updated last year
- Website for the Weaviate vector database☆88Updated this week
- Additional packages (components, document stores and the likes) to extend the capabilities of Haystack☆169Updated this week
- Domain Adapted Language Modeling Toolkit - E2E RAG☆330Updated last year
- Repo contains the code, data and supporting documents including presentations, playbooks and additional documents to support learning☆139Updated last year
- High quality resources & applications for LLMs, multi-modal models and VectorDBs