Merge branch 'master' into google-stt

Author: holtskinner

.github/CONTRIBUTING.md

@@ -77,7 +77,7 @@ tell Poetry to use the virtualenv python environment (`poetry config virtualenvs
 
 There are two separate projects in this repository:
 - `langchain`: core langchain code, abstractions, and use cases
-- `langchain.experimental`: see the [Experimental README](../libs/experimental/README.md) for more information.
+- `langchain.experimental`: see the [Experimental README](https://github.com/langchain-ai/langchain/tree/master/libs/experimental/README.md) for more information.
 
 Each of these has its own development environment. Docs are run from the top-level makefile, but development
 is split across separate test & release flows.
@@ -129,7 +129,7 @@ To run unit tests in Docker:
 make docker_tests
 ```
 
-There are also [integration tests and code-coverage](../libs/langchain/tests/README.md) available.
+There are also [integration tests and code-coverage](https://github.com/langchain-ai/langchain/tree/master/libs/langchain/tests/README.md) available.
 
 ### Formatting and Linting
 

docs/.local_build.sh

@@ -14,6 +14,7 @@ cd ../_dist
 poetry run python scripts/model_feat_table.py
 poetry run nbdoc_build --srcdir docs
 cp ../cookbook/README.md src/pages/cookbook.mdx
+cp ../.github/CONTRIBUTING.md docs/contributing.md
 poetry run python scripts/generate_api_reference_links.py
 yarn install
 yarn start

docs/docs/get_started/quickstart.mdx

@@ -18,7 +18,7 @@ import CodeBlock from "@theme/CodeBlock";
 </Tabs>
 
 
-For more details, see our [Installation guide](/docs/get_started/installation.html).
+For more details, see our [Installation guide](/docs/get_started/installation).
 
 ## Environment setup
 

docs/docs/guides/deployments/index.mdx

@@ -20,11 +20,11 @@ This guide aims to provide a comprehensive overview of the requirements for depl
 
 Understanding these components is crucial when assessing serving systems. LangChain integrates with several open-source projects designed to tackle these issues, providing a robust framework for productionizing your LLM applications. Some notable frameworks include:
 
-- [Ray Serve](/docs/ecosystem/integrations/ray_serve.html)
+- [Ray Serve](/docs/ecosystem/integrations/ray_serve)
 - [BentoML](https://github.com/bentoml/BentoML)
-- [OpenLLM](/docs/ecosystem/integrations/openllm.html)
-- [Modal](/docs/ecosystem/integrations/modal.html)
-- [Jina](/docs/ecosystem/integrations/jina.html#deployment)
+- [OpenLLM](/docs/ecosystem/integrations/openllm)
+- [Modal](/docs/ecosystem/integrations/modal)
+- [Jina](/docs/ecosystem/integrations/jina#deployment)
 
 These links will provide further information on each ecosystem, assisting you in finding the best fit for your LLM deployment needs.
 

docs/docs/integrations/callbacks/argilla.ipynb

@@ -14,7 +14,7 @@
     "> using both human and machine feedback. We provide support for each step in the MLOps cycle, \n",
     "> from data labeling to model monitoring.\n",
     "\n",
-    "<a target=\"_blank\" href=\"https://colab.research.google.com/github/hwchase17/langchain/blob/master/docs/integrations/callbacks/argilla.html\">\n",
+    "<a target=\"_blank\" href=\"https://colab.research.google.com/github/hwchase17/langchain/blob/master/docs/integrations/callbacks/argilla\">\n",
     "  <img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/>\n",
     "</a>"
    ]

docs/docs/integrations/chat_loaders/langsmith_dataset.ipynb

@@ -5,7 +5,7 @@
    "id": "a9ab2a39-7c2d-4119-9dc7-8035fdfba3cb",
    "metadata": {},
    "source": [
-    "# Fine-Tuning on LangSmith Chat Datasets\n",
+    "# LangSmith Chat Datasets\n",
     "\n",
     "This notebook demonstrates an easy way to load a LangSmith chat dataset fine-tune a model on that data.\n",
     "The process is simple and comprises 3 steps.\n",
@@ -271,7 +271,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.2"
+   "version": "3.9.1"
   }
  },
  "nbformat": 4,

docs/docs/integrations/chat_loaders/langsmith_llm_runs.ipynb

@@ -5,7 +5,7 @@
    "id": "a9ab2a39-7c2d-4119-9dc7-8035fdfba3cb",
    "metadata": {},
    "source": [
-    "# Fine-Tuning on LangSmith LLM Runs\n",
+    "# LangSmith LLM Runs\n",
     "\n",
     "This notebook demonstrates how to directly load data from LangSmith's LLM runs and fine-tune a model on that data.\n",
     "The process is simple and comprises 3 steps.\n",
@@ -421,7 +421,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.2"
+   "version": "3.9.1"
   }
  },
  "nbformat": 4,

docs/docs/integrations/document_loaders/apify_dataset.ipynb

@@ -13,7 +13,7 @@
     "\n",
     "## Prerequisites\n",
     "\n",
-    "You need to have an existing dataset on the Apify platform. If you don't have one, please first check out [this notebook](/docs/integrations/tools/apify.html) on how to use Apify to extract content from documentation, knowledge bases, help centers, or blogs."
+    "You need to have an existing dataset on the Apify platform. If you don't have one, please first check out [this notebook](/docs/integrations/tools/apify) on how to use Apify to extract content from documentation, knowledge bases, help centers, or blogs."
    ]
   },
   {

docs/docs/integrations/document_loaders/pandas_dataframe.ipynb

@@ -7,7 +7,7 @@
    "source": [
     "# Pandas DataFrame\n",
     "\n",
-    "This notebook goes over how to load data from a [pandas](https://pandas.pydata.org/pandas-docs/stable/user_guide/index.html) DataFrame."
+    "This notebook goes over how to load data from a [pandas](https://pandas.pydata.org/pandas-docs/stable/user_guide/index) DataFrame."
    ]
   },
   {

docs/docs/integrations/document_loaders/psychic.ipynb

@@ -5,10 +5,10 @@
    "metadata": {},
    "source": [
     "# Psychic\n",
-    "This notebook covers how to load documents from `Psychic`. See [here](/docs/ecosystem/integrations/psychic.html) for more details.\n",
+    "This notebook covers how to load documents from `Psychic`. See [here](/docs/ecosystem/integrations/psychic) for more details.\n",
     "\n",
     "## Prerequisites\n",
-    "1. Follow the Quick Start section in [this document](/docs/ecosystem/integrations/psychic.html)\n",
+    "1. Follow the Quick Start section in [this document](/docs/ecosystem/integrations/psychic)\n",
     "2. Log into the [Psychic dashboard](https://dashboard.psychic.dev/) and get your secret key\n",
     "3. Install the frontend react library into your web app and have a user authenticate a connection. The connection will be created using the connection id that you specify."
    ]