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Update Gemini langchain terminology #85

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Merged
VirajAgarwal1 merged 2 commits into from
Feb 12, 2026
Merged

Update Gemini langchain terminology #85

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251c0ad
Update index name and technology tags in tutorial
SanjanaBoggaramJ Feb 7, 2026
640a5af
Update tutorial for Search Index terminology
SanjanaBoggaramJ Feb 10, 2026
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9 changes: 5 additions & 4 deletions tutorial/markdown/python/gemini-langchain-pdf-chat/gemini-langchain-pdf-chat-py.md
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Expand Up @@ -11,13 +11,14 @@ description:
content_type: tutorial
filter: sdk
technology:
- fts
- vector search
- kv
tags:
- Streamlit
- LangChain
- Google Gemini
- Artificial Intelligence
- Search Vector Index
sdk_language:
- python
length: 45 Mins
Expand Down Expand Up @@ -81,9 +82,9 @@ Specifically, you need to do the following:
- For the purpose of this tutorial, we will be using specific bucket, scope and collection. However, you may use any name of your choice but make sure to update names in all the steps.
- Create a bucket named `pdf-chat`. We will use the `_default` scope and `_default` collection of this bucket.

### Create the Search Index on Full Text Service
### Create the Search Index on Search Service

We need to create the Search Index on the Full Text Service in Couchbase. For this demo, you can import the following index using the instructions.
We need to create the Search Index on the Search Service in Couchbase. For this demo, you can import the following index using the instructions.

- [Couchbase Capella](https://docs.couchbase.com/cloud/search/import-search-index.html)

Expand Down Expand Up @@ -194,7 +195,7 @@ DB_PASSWORD = "<password_for_couchbase_cluster>"
DB_BUCKET = "<name_of_bucket_to_store_documents>"
DB_SCOPE = "<name_of_scope_to_store_documents>"
DB_COLLECTION = "<name_of_collection_to_store_documents>"
INDEX_NAME = "<name_of_fts_index_with_vector_support>"
INDEX_NAME = "<name_of_search-vector_index_with_vector_support>"
LOGIN_PASSWORD = "<password to access the streamlit app>"
```

Expand Down