[PR #183] [MERGED] chore: Update PGVectorstore quickstart #212

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opened 2026-02-16 05:16:59 -05:00 by yindo · 0 comments
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📋 Pull Request Information

Original PR: https://github.com/langchain-ai/langchain-postgres/pull/183
Author: @dishaprakash
Created: 4/7/2025
Status: Merged
Merged: 4/7/2025
Merged by: @averikitsch

Base: mainHead: quickstart


📝 Commits (3)

  • 2b25e28 chore: Update PGVectorstore quickstart
  • e6414c9 remove chatstore lint
  • 14bc67e Update pg_vectorstore.ipynb

📊 Changes

1 file changed (+24 additions, -25 deletions)

View changed files

📝 examples/pg_vectorstore.ipynb (+24 -25)

📄 Description

chore: Update PGVectorstore quickstart

Changes:

  • The instances where the variable engine is being used instead of pg_engine
  • Added Cohere embedding model along with the right vector size for the model
  • Change to use embedding parameter instead of embedding_service in vectorstore.afrom_documents

Fixes #180


🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.

## 📋 Pull Request Information **Original PR:** https://github.com/langchain-ai/langchain-postgres/pull/183 **Author:** [@dishaprakash](https://github.com/dishaprakash) **Created:** 4/7/2025 **Status:** ✅ Merged **Merged:** 4/7/2025 **Merged by:** [@averikitsch](https://github.com/averikitsch) **Base:** `main` ← **Head:** `quickstart` --- ### 📝 Commits (3) - [`2b25e28`](https://github.com/langchain-ai/langchain-postgres/commit/2b25e284f2a22eadaba0371eae99e9cf1b0950bc) chore: Update PGVectorstore quickstart - [`e6414c9`](https://github.com/langchain-ai/langchain-postgres/commit/e6414c92075c7d1e41daf501cffb80508e49c49a) remove chatstore lint - [`14bc67e`](https://github.com/langchain-ai/langchain-postgres/commit/14bc67e76a50d1bc387e236feef5c7f3cd780dcc) Update pg_vectorstore.ipynb ### 📊 Changes **1 file changed** (+24 additions, -25 deletions) <details> <summary>View changed files</summary> 📝 `examples/pg_vectorstore.ipynb` (+24 -25) </details> ### 📄 Description chore: Update PGVectorstore quickstart Changes: - The instances where the variable `engine` is being used instead of `pg_engine` - Added Cohere embedding model along with the right vector size for the model - Change to use `embedding` parameter instead of `embedding_service` in vectorstore.afrom_documents Fixes #180 --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
yindo added the pull-request label 2026-02-16 05:16:59 -05:00
yindo closed this issue 2026-02-16 05:16:59 -05:00
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Reference: langchain-ai/langchain-postgres#212