[PR #1159] [MERGED] Update feature matrix for Astra DB vector store integration #1344

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opened 2026-02-17 17:22:11 -05:00 by yindo · 0 comments
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📋 Pull Request Information

Original PR: https://github.com/langchain-ai/docs/pull/1159
Author: @sl-at-ibm
Created: 10/28/2025
Status: Merged
Merged: 10/28/2025
Merged by: @mdrxy

Base: mainHead: SL-astradb-vectorstore-feature-matrix


📝 Commits (2)

  • bf3c1b1 rectify feature matrix for Astra DB Vector Store
  • 0489357 Merge branch 'main' into SL-astradb-vectorstore-feature-matrix

📊 Changes

1 file changed (+2 additions, -2 deletions)

View changed files

📝 src/oss/python/integrations/vectorstores/index.mdx (+2 -2)

📄 Description

Overview

This PR updates the feature matrix for the Astra DB vector store integration.

Type of change

Type: Update existing documentation

Checklist

  • I have read the contributing guidelines
  • [?] I have tested my changes locally using docs dev
  • [n/a] All code examples have been tested and work correctly
  • [n/a] I have used root relative paths for internal links
  • [n/a] I have updated navigation in src/docs.json if needed
  • I have gotten approval from the relevant reviewers

Additional notes

This PR marks these two attributes as "yes" for the Astra DB Vector Store component: passes standard tests and multi tenancy.

For the first item, the component uses the entire vectorstore suite from the langchain-tests in its CI/CD and passes it.

For the multi-tenancy, Astra DB is a cloud database: as such, is it my understanding that it is inherently multitenant, as each user comes with their own auth token and accesses their own databases there through DB-specific endpoints (see e.g. here). In that respect, it is not different than e.g. the Mongo DB Atlas vector store, likewise marked as multitenant in the feature matrix.


🔄 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/docs/pull/1159 **Author:** [@sl-at-ibm](https://github.com/sl-at-ibm) **Created:** 10/28/2025 **Status:** ✅ Merged **Merged:** 10/28/2025 **Merged by:** [@mdrxy](https://github.com/mdrxy) **Base:** `main` ← **Head:** `SL-astradb-vectorstore-feature-matrix` --- ### 📝 Commits (2) - [`bf3c1b1`](https://github.com/langchain-ai/docs/commit/bf3c1b1dde2fc99123131819f988dda96b571ff1) rectify feature matrix for Astra DB Vector Store - [`0489357`](https://github.com/langchain-ai/docs/commit/0489357f296b7510387bbb993172548d370ff010) Merge branch 'main' into SL-astradb-vectorstore-feature-matrix ### 📊 Changes **1 file changed** (+2 additions, -2 deletions) <details> <summary>View changed files</summary> 📝 `src/oss/python/integrations/vectorstores/index.mdx` (+2 -2) </details> ### 📄 Description ## Overview This PR updates the feature matrix for the Astra DB vector store integration. ## Type of change **Type:** Update existing documentation ## Checklist - [x] I have read the [contributing guidelines](README.md) - [?] I have tested my changes locally using `docs dev` - [n/a] All code examples have been tested and work correctly - [n/a] I have used **root relative** paths for internal links - [n/a] I have updated navigation in `src/docs.json` if needed - I have gotten approval from the relevant reviewers ## Additional notes This PR marks these two attributes as "yes" for the Astra DB Vector Store component: **passes standard tests** and **multi tenancy**. For the first item, the component [uses the entire vectorstore suite](https://github.com/langchain-ai/langchain-datastax/blob/main/libs/astradb/tests/integration_tests/standard_tests/test_vectorstore.py) from the `langchain-tests` in its CI/CD and passes it. For the multi-tenancy, Astra DB is a cloud database: as such, is it my understanding that it is inherently multitenant, as each user comes with their own auth token and accesses their own databases there through DB-specific endpoints ([see e.g. here](https://github.com/langchain-ai/langchain-datastax/blob/main/libs/astradb/langchain_astradb/vectorstores.py#L770-L776)). In that respect, it is not different than e.g. the Mongo DB Atlas vector store, likewise marked as multitenant in the feature matrix. --- <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 2026-02-17 17:22:11 -05:00
yindo closed this issue 2026-02-17 17:22:11 -05:00
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Reference: langchain-ai/docs#1344