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openai-cookbook/examples/vector_databases/weaviate
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liuliu 37fd3a6052 fix: some typo and add execution command sample (#299) 
* fix: some typo and add execution command sample

* fix: some typo and add execution command sample

1. hybrid-search-with-weaviate-and-openai.ipynb

* fix: some typo and add execution command sample

1. question-answering-with-weaviate-and-openai.ipynb
2023-05-02 10:43:44 -07:00
..
docker-compose.yml Merging Weaviate notebooks to main (#122) 2023-02-13 10:33:00 -08:00
getting-started-with-weaviate-and-openai.ipynb fix: some typo and add execution command sample (#299) 2023-05-02 10:43:44 -07:00
hybrid-search-with-weaviate-and-openai.ipynb fix: some typo and add execution command sample (#299) 2023-05-02 10:43:44 -07:00
question-answering-with-weaviate-and-openai.ipynb fix: some typo and add execution command sample (#299) 2023-05-02 10:43:44 -07:00
README.md Merging Weaviate notebooks to main (#122) 2023-02-13 10:33:00 -08:00

README.md

Weaviate <> OpenAI

​Weaviate is an open-source vector search engine (docs - Github) that can store and search through OpenAI embeddings and data objects. The database allows you to do similarity search, hybrid search (the combining of multiple search techniques, such as keyword-based and vector search), and generative search (like Q&A). Weaviate also supports a wide variety of OpenAI-based modules (e.g., text2vec-openai, qna-openai), allowing you to vectorize and query data fast and efficiently.

You can run Weaviate (including the OpenAI modules if desired) in three ways:

  1. Open source inside a Docker-container (example)
  2. Using the Weaviate Cloud Service (get started)
  3. In a Kubernetes cluster (learn more)

Examples

This folder contains a variety of Weaviate and OpenAI examples.

Name Description lanugage Google Colab
Getting Started with Weaviate and OpenAI A simple getting started for semantic vector search using the OpenAI vectorization module in Weaviate (text2vec-openai) Python Notebook link
Hybrid Search with Weaviate and OpenAI A simple getting started for hybrid search using the OpenAI vectorization module in Weaviate (text2vec-openai) Python Notebook link
Question Answering with Weaviate and OpenAI A simple getting started for question answering (Q&A) using the OpenAI Q&A module in Weaviate (qna-openai) Python Notebook link
Docker-compose example A Docker-compose file with all OpenAI modules enabled Docker