From 235eb38d3ee18177bba7e35bf2d67f862bbec0cd Mon Sep 17 00:00:00 2001 From: sykp241095 Date: Thu, 25 Jul 2024 21:20:02 +0800 Subject: [PATCH] docs: update TiDB Cloud links as vector search feature becomes public beta (#24667) Thank you for contributing to LangChain! - [ ] **PR title**: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** a description of the change - **Issue:** the issue # it fixes, if applicable - **Dependencies:** any dependencies required for this change - **Twitter handle:** if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] **Add tests and docs**: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [ ] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. --- docs/docs/integrations/memory/tidb_chat_message_history.ipynb | 2 +- docs/docs/integrations/providers/tidb.mdx | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/docs/integrations/memory/tidb_chat_message_history.ipynb b/docs/docs/integrations/memory/tidb_chat_message_history.ipynb index 35a4d99fcf8..768029ce7c0 100644 --- a/docs/docs/integrations/memory/tidb_chat_message_history.ipynb +++ b/docs/docs/integrations/memory/tidb_chat_message_history.ipynb @@ -6,7 +6,7 @@ "source": [ "# TiDB\n", "\n", - "> [TiDB Cloud](https://tidbcloud.com/), is a comprehensive Database-as-a-Service (DBaaS) solution, that provides dedicated and serverless options. TiDB Serverless is now integrating a built-in vector search into the MySQL landscape. With this enhancement, you can seamlessly develop AI applications using TiDB Serverless without the need for a new database or additional technical stacks. Be among the first to experience it by joining the waitlist for the private beta at https://tidb.cloud/ai.\n", + "> [TiDB Cloud](https://pingcap.com/ai), is a comprehensive Database-as-a-Service (DBaaS) solution, that provides dedicated and serverless options. TiDB Serverless is now integrating a built-in vector search into the MySQL landscape. With this enhancement, you can seamlessly develop AI applications using TiDB Serverless without the need for a new database or additional technical stacks. Create a free TiDB Serverless cluster and start using the vector search feature today!\n", "\n", "This notebook introduces how to use TiDB to store chat message history. " ] diff --git a/docs/docs/integrations/providers/tidb.mdx b/docs/docs/integrations/providers/tidb.mdx index 132643b5b7e..70a745840ea 100644 --- a/docs/docs/integrations/providers/tidb.mdx +++ b/docs/docs/integrations/providers/tidb.mdx @@ -1,10 +1,10 @@ # TiDB -> [TiDB Cloud](https://tidbcloud.com/), is a comprehensive Database-as-a-Service (DBaaS) solution, +> [TiDB Cloud](https://pingcap.com/ai), is a comprehensive Database-as-a-Service (DBaaS) solution, > that provides dedicated and serverless options. `TiDB Serverless` is now integrating > a built-in vector search into the MySQL landscape. With this enhancement, you can seamlessly > develop AI applications using `TiDB Serverless` without the need for a new database or additional -> technical stacks. Be among the first to experience it by joining the [waitlist for the private beta](https://tidb.cloud/ai). +> technical stacks. Create a free TiDB Serverless cluster and start using the vector search feature today. ## Installation and Setup