From 91f4c80143726ca70a3d55dd5d9e62bec58d2500 Mon Sep 17 00:00:00 2001 From: Leonid Kuligin Date: Tue, 26 Mar 2024 00:19:28 +0100 Subject: [PATCH] docs: fixed links (#19503) - [ ] **PR title**: "docs: fixed broken links" - [ ] **PR message**: - **Description:** fixed links in the documentation --- docs/docs/modules/chains.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/docs/modules/chains.ipynb b/docs/docs/modules/chains.ipynb index 00c14022137..089ef017c07 100644 --- a/docs/docs/modules/chains.ipynb +++ b/docs/docs/modules/chains.ipynb @@ -67,8 +67,8 @@ "| Chain Constructor | Function Calling | Other Tools | When to Use |\n", "|----------------------------------|-------------------------|--------------|--------------------------------------------------------------------------------|\n", "| [create_stuff_documents_chain](https://api.python.langchain.com/en/latest/chains/langchain.chains.combine_documents.stuff.create_stuff_documents_chain.html#langchain.chains.combine_documents.stuff.create_stuff_documents_chain) | | | This chain takes a list of documents and formats them all into a prompt, then passes that prompt to an LLM. It passes ALL documents, so you should make sure it fits within the context window the LLM you are using. |\n", - "| [create_openai_fn_runnable](https://api.python.langchain.com/en/latest/chains/langchain.chains.openai_functions.base.create_openai_fn_runnable.html#langchain.chains.openai_functions.base.create_openai_fn_runnable) | ✅ | | If you want to use OpenAI function calling to OPTIONALLY structured an output response. You may pass in multiple functions for it call, but it does not have to call it. |\n", - "| [create_structured_output_runnable](https://api.python.langchain.com/en/latest/chains/langchain.chains.openai_functions.base.create_structured_output_runnable.html#langchain.chains.openai_functions.base.create_structured_output_runnable) | ✅ | | If you want to use OpenAI function calling to FORCE the LLM to respond with a certain function. You may only pass in one function, and the chain will ALWAYS return this response. |\n", + "| [create_openai_fn_runnable](https://api.python.langchain.com/en/latest/chains/langchain.chains.structured_output.base.create_openai_fn_runnable.html#langchain.chains.structured_output.base.create_openai_fn_runnable) | ✅ | | If you want to use OpenAI function calling to OPTIONALLY structured an output response. You may pass in multiple functions for it call, but it does not have to call it. |\n", + "| [create_structured_output_runnable](https://api.python.langchain.com/en/latest/chains/langchain.chains.structured_output.base.create_structured_output_runnable.html#langchain.chains.structured_output.base.create_structured_output_runnable) | ✅ | | If you want to use OpenAI function calling to FORCE the LLM to respond with a certain function. You may only pass in one function, and the chain will ALWAYS return this response. |\n", "| [load_query_constructor_runnable](https://api.python.langchain.com/en/latest/chains/langchain.chains.query_constructor.base.load_query_constructor_runnable.html#langchain.chains.query_constructor.base.load_query_constructor_runnable) | | | Can be used to generate queries. You must specify a list of allowed operations, and then will return a runnable that converts a natural language query into those allowed operations. |\n", "| [create_sql_query_chain](https://api.python.langchain.com/en/latest/chains/langchain.chains.sql_database.query.create_sql_query_chain.html#langchain.chains.sql_database.query.create_sql_query_chain) | | SQL Database | If you want to construct a query for a SQL database from natural language. |\n", "| [create_history_aware_retriever](https://api.python.langchain.com/en/latest/chains/langchain.chains.history_aware_retriever.create_history_aware_retriever.html#langchain.chains.history_aware_retriever.create_history_aware_retriever) | | Retriever | This chain takes in conversation history and then uses that to generate a search query which is passed to the underlying retriever. |\n",