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Logan Kilpatrick f1e13cfcc7 Misc updates (#1022 )		5 months ago
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README.md	Add elasticsearch examples to vector databases folder (#622 )	10 months ago
elasticsearch-retrieval-augmented-generation.ipynb	Misc updates (#1022 )	5 months ago
elasticsearch-semantic-search.ipynb	Misc updates (#1022 )	5 months ago

README.md

Elasticsearch

Elasticsearch is a popular search/analytics engine and vector database. Elasticsearch offers an efficient way to create, store, and search vector embeddings at scale.

For technical details, refer to the Elasticsearch documentation.

The elasticsearch-labs repo contains executable Python notebooks, sample apps, and resources for testing out the Elastic platform.

OpenAI cookbook notebooks 📒

Check out our notebooks in this repo for working with OpenAI, using Elasticsearch as your vector database.

Semantic search

In this notebook you'll learn how to:

Index the OpenAI Wikipedia embeddings dataset into Elasticsearch
Encode a question with the openai ada-02 model
Perform a semantic search

Retrieval augmented generation

This notebooks builds on the semantic search notebook by:

Selecting the top hit from a semantic search
Sending that result to the OpenAI Chat Completions API endpoint for retrieval augmented generation (RAG)