github/langchain
1
0
Fork 0
mirror of https://github.com/hwchase17/langchain.git synced 2025-06-25 08:03:39 +00:00
Code Issues Packages Projects Releases Wiki Activity

docs: fixed links (#19503)

Browse Source 
- [ ] **PR title**: "docs: fixed broken links"


- [ ] **PR message**:
    - **Description:** fixed links in the documentation
This commit is contained in:
Leonid Kuligin 2024-03-26 00:19:28 +01:00 committed by GitHub
parent dac2e0165a
commit 91f4c80143
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
1 changed files with 2 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
docs/docs/modules/chains.ipynb
View File

@ -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",