Add an RAG via Elasticsearch cookbook

I thought it would be useful to provide a cookbook for a RAG backed by Elasticsearch, Huggingface models, and Gemma. Users can easily toggle between vectorisation that is offloaded to ES and self-provided (pre)-vectorisation. This is based on the excellent MongoDB notebook and dataset. Signed-off-by: lloydmeta <[email protected]>
huggingface · Jun 21, 2024 · 5c3c9d5 · 5c3c9d5
1 parent 113aa86
commit 5c3c9d5
Show file tree

Hide file tree

Showing 2 changed files with 3,695 additions and 0 deletions.
diff --git a/notebooks/en/_toctree.yml b/notebooks/en/_toctree.yml
@@ -27,6 +27,8 @@
           title: Detecting Issues in a Text Dataset with Cleanlab
         - local: annotate_text_data_transformers_via_active_learning
           title: Annotate text data using Active Learning with Cleanlab
+        - local: rag_with_hugging_face_gemma_elasticsearch
+          title: Building a RAG System with Gemma, Elasticsearch and Open Source Models
         - local: rag_with_hugging_face_gemma_mongodb
           title: Building A RAG System with Gemma, MongoDB and Open Source Models
         - local: rag_zephyr_langchain