From bf27ae6c8d2fede51298f28d87c99f85ecd2aea4 Mon Sep 17 00:00:00 2001 From: Andreas Motl Date: Fri, 5 Apr 2024 19:19:50 +0200 Subject: [PATCH] ML: Fix broken links to fundamental LangChain tutorials --- docs/domain/ml/index.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/docs/domain/ml/index.md b/docs/domain/ml/index.md index 76c406be..0b716dc1 100644 --- a/docs/domain/ml/index.md +++ b/docs/domain/ml/index.md @@ -214,6 +214,7 @@ This feature uses CrateDB's Vector Store implementation. - [LangChain: Retrieval augmented generation] - [LangChain: Analyzing structured data] - [LangChain: Chatbots] + - [LangChain: Q&A with SQL] ::::{info-card} @@ -318,8 +319,9 @@ tensorflow [How to set up LangChain with CrateDB]: https://community.cratedb.com/t/how-to-set-up-langchain-with-cratedb/1576 [Jupyter Notebook]: https://jupyter.org/ [LangChain]: https://python.langchain.com/ -[LangChain: Analyzing structured data]: https://python.langchain.com/docs/use_cases/qa_structured/sql +[LangChain: Analyzing structured data]: https://python.langchain.com/docs/use_cases/extraction/ [LangChain: Chatbots]: https://python.langchain.com/docs/use_cases/chatbots +[LangChain: Q&A with SQL]: https://python.langchain.com/docs/use_cases/sql/ [LangChain: Retrieval augmented generation]: https://python.langchain.com/docs/use_cases/question_answering/ [LangChain and CrateDB: Code Examples]: https://github.com/crate/cratedb-examples/tree/main/topic/machine-learning/llm-langchain [langchain-conversational-history-binder]: https://mybinder.org/v2/gh/crate/cratedb-examples/main?labpath=topic%2Fmachine-learning%2Fllm-langchain%2Fconversational_memory.ipynb