https://github.com/weaviate/weaviate-examples
Weaviate vector database – examples
https://github.com/weaviate/weaviate-examples
deep-learning examples vector-database vector-search vector-search-engine weaviate
Last synced: 7 months ago
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Weaviate vector database – examples
- Host: GitHub
- URL: https://github.com/weaviate/weaviate-examples
- Owner: weaviate
- License: mit
- Created: 2021-01-28T14:29:37.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2024-12-11T16:18:10.000Z (10 months ago)
- Last Synced: 2025-02-20T07:02:17.952Z (8 months ago)
- Topics: deep-learning, examples, vector-database, vector-search, vector-search-engine, weaviate
- Language: HTML
- Homepage:
- Size: 57.5 MB
- Stars: 305
- Watchers: 32
- Forks: 81
- Open Issues: 11
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-vector-databases - weaviate-examples - Examples and resources for Weaviate, a popular open-source vector database optimized for storing and searching vector embeddings at scale. ([Read more](/details/weaviate-examples.md)) `Weaviate` `examples` `resources` `vector embeddings` (Curated Resource Lists)
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README
# Weaviate examples
List of examples and tutorials of how to use the Vector Search Engine
Weaviate for cool machine-learning related tasks.
### Running Weaviate
* Most examples assume you have a Weaviate running. You can run one locally by following [this installation guide](https://weaviate.io/developers/weaviate/installation/docker-compose) in the documentation.
* If you need a specific vectorizer module or another ML module, it will be explained in the tutorial.
* Basic links: [Documentation](https://weaviate.io/developers/weaviate/) – [Github](https://github.com/weaviate/weaviate) - [Slack](https://weaviate.io/slack)
## Examples
|Title|Language|Description|
|---|---|---|
| [Semantic search through Wikipedia with the Weaviate vector search engine](https://github.com/weaviate/semantic-search-through-wikipedia-with-weaviate) | GraphQL | Semantic search through a vectorized Wikipedia (SentenceBERT) with the Weaviate vector search engine |
| [PyTorch-BigGraph Wikidata search with the Weaviate vector search engine](https://github.com/weaviate/biggraph-wikidata-search-with-weaviate) | GraphQL | Search through Facebook Research's PyTorch BigGraph Wikidata-dataset with the Weaviate vector search engine |
| [Multi-Modal Text/Image search using CLIP](clip-multi-modal-text-image-search/) | Bash, Javascript, React | Use text to search through images using CLIP (multi2vec-clip). Also acts as a demo on how to use Weaviate with React |
| [Google Colab notebook: Getting started with the Python Client](getting-started-with-python-client-colab) | python (Google Colab) | Google Colab notebook to learn to get started with the Python client. Contains plenty of example code. |
| [Demo dataset News Publications with Contextionary](weaviate-contextionary-newspublications) | yaml | Docker-compose configuration file of Weaviate with a News Publications demo dataset. |
| [Demo dataset News Publications with Transformers, NER, Spellcheck and Q&A](weaviate-transformers-newspublications) | yaml | Docker-compose configuration file of Weaviate with a News Publications demo dataset. The vectorization is done by a text2vec-transformers module, and the spellcheck, Q&A and Named Entity Recognition module are connected. |
| [Weaviate simple schema](schema-wines) | Python | Easy example of a schema and how to upload it to Weaviate with the Python client |
| [Semantic search through wine dataset](semanticsearch-transformers-wines) | Python | Easy example to get started with Weaviate and semantic search with the Transformers module |
| [Unmask Superheroes in 5 steps using the Weaviate NLP module and the Python client](unmask-superheroes) | Python | Super simple 5 step guide to get started with the Weaviate NLP modules. This is a basic introduction to semantic search with Weaviate and the Python client.|
| [Information Retrieval with BERT (Weaviate without vectorizer module)](bert-information-retrieval) | Python (Jupyter Notebook) | In this example we are going to use Weaviate without vectorization module, and use it as pure vector database to use a BERT transformer to vectorize text documents, then retrieve the closest ones through Weaviate's Search |
| [Text search with weaviate using own vectors](text-search-with-own-vectors) | Python | A basic and simple example using our own vectors(obtained using SBERT, but any other model can also be used) in weaviate|
| [Harry Potter Question Answering with Haystack & Weaviate](harrypotter-qa-haystack-weaviate) | Python (Jupyter/Colab notebook) | A demo notebook showing how to use Weaviate as DocumentStore in [Haystack](https://haystack.deepset.ai/overview/intro).
| [Vegetable classification using image2vec-neural](vegetable-classification) | Python |An image classification example made using image2vec-neural and flask to classify vegetable images|
| [Exploring multi2vec-clip with Python and flask](exploring-multi2vec-clip-with-Python-and-flask) | Python |This example explores the multi2vec-clip module to implement an image and text combined search functionality.|
| [Toxic Comment Classifier having GUI in Tkinter](weaviate-toxic-comment-classifier) | Python |An example to classify comments as Toxic or Non Toxic |
| [Plant information searching in NodeJs and Javascript](plant-information-searching-using-NodeJs) | NodeJs, Javascript |A simple example to demonstrate how to use weaviate in NodeJs using Javascript APIs|
| [Web App for movie recommendation](weaviate-movie-recommendation-example) | NodeJs, Javascript |An example demonstration how to easily make a movie recommender using weaviate|
| [Generate Data profile for data stored in weaviate cluster](weaviate-data-profiling-using-pandas) | Python, NodeJs, Javascript |An example demonstration how to easily generate data profile for data in weaviate cluster using pandas library of python|
| [Example with NER module of weaviate](example-with-NER-module) | Python |Minimal example to get started with and use [NER](https://weaviate.io/developers/weaviate/v1.11.0/reader-generator-modules/ner-transformers.html) module to extract useful data and store it|
| [Workshop Vector Databases](vector-database-workshop) | Python notebook | Jupyter/Colab notebook to learn how to get started with Vector Search and Weaviate, given at [Open Data Science Conference (ODSC) East 2022](https://odsc.com/speakers/vector-database-workshop-using-weaviate/)|
| [Workshop Question Answering](question-answering-application-with-weaviate-workshop) | Python notebook | Jupyter/Colab notebook to learn how to get started with Question Answering and Weaviate, given at [Knowledge Graph Conference (KGC) 2022](https://www.knowledgegraph.tech/kgc-2022-tutorial-ml-model-with-the-vector-database-weaviate/) |
| [Attendance system using image2vec-neural and own vectors](attendance-system-example) | Python |This example uses image2vec-neural and has an option to use own vectors using OpenCV. It is a smart attendance system example|
| [Monitoring Setup with Prometheus & Grafana](monitoring-prometheus-grafana) | yaml | This example does not describe any use case, but rather shows a way of how to start, operate and configure Weaviate with Prometheus-Monitoring and a Grafana Instance with some sample dashboards. |