Add tutorials and guides for LangChain (mlflow#10770)

Signed-off-by: Ben Wilson <[email protected]>
annzhang-db · Jan 6, 2024 · 2766a80 · 2766a80
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diff --git a/docs/source/_static/images/tutorials/llms/langchain-agents.png b/docs/source/_static/images/tutorials/llms/langchain-agents.png
diff --git a/docs/source/_static/images/tutorials/llms/langchain-retrievalqa.png b/docs/source/_static/images/tutorials/llms/langchain-retrievalqa.png
diff --git a/docs/source/_static/images/tutorials/llms/stateful-chains.png b/docs/source/_static/images/tutorials/llms/stateful-chains.png
diff --git a/docs/source/index.rst b/docs/source/index.rst
@@ -84,54 +84,91 @@ Explore the guides and tutorials below to start your journey!
 LLM Guides and Tutorials
 ^^^^^^^^^^^^^^^^^^^^^^^^
 
+MLflow Native flavors for GenAI
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
 .. raw:: html
 
     <section>
         <article class="simple-grid">
             <div class="simple-card">
-                <a href="llms/prompt-engineering/index.html" >
+                <a href="llms/transformers/index.html" >
                     <div class="header">
-                        Guide to the MLflow Prompt Engineering UI
+                        🤗 Transformers in MLflow
                     </div>
                     <p>
-                        Explore the features and functions of MLflow's Prompt Engineering UI for development, testing, evaluation, and 
-                        deployment of validated prompts for your LLM use cases.
+                        Learn how to leverage the HuggingFace Transformers package with MLflow. Explore multiple tutorials and examples that leverage 
+                        the power of state-of-the-art LLMs.
                     </p>
                 </a>
             </div>
             <div class="simple-card">
-                <a href="llms/deployments/index.html" >
+                <a href="llms/openai/index.html" >
                     <div class="header">
-                        Guide for the MLflow Deployments for LLMs
+                        OpenAI in MLflow
                     </div>
                     <p>
-                        Learn how to configure, setup, deploy, and use the MLflow Deployments for testing and production use cases of both 
-                        SaaS and custom open-source LLMs.
+                        Learn how to leverage the state-of-the-art LLMs offered by OpenAI directly as MLflow flavors to build and track useful language-based 
+                        applications.
                     </p>
                 </a>
             </div>
             <div class="simple-card">
-                <a href="llms/transformers/index.html" >
+                <a href="llms/langchain/index.html" >
                     <div class="header">
-                        Guide to using 🤗 Transformers in MLflow
+                        LangChain in MLflow
                     </div>
                     <p>
-                        Learn how to leverage the HuggingFace Transformers package with MLflow. Explore multiple tutorials and examples that leverage 
-                        the power of state-of-the-art LLMs.
+                        Learn how to build both simple and complex LLM-powered applications with LangChain, using MLflow to simplify deployment, dependency 
+                        management, and service integration.
                     </p>
                 </a>
             </div>
             <div class="simple-card">
-                <a href="llms/openai/index.html" >
+                <a href="llms/sentence-transformers/index.html" >
                     <div class="header">
-                        Guide to using OpenAI in MLflow
+                        Sentence Transformers in MLflow
                     </div>
                     <p>
-                        Learn how to leverage the state-of-the-art LLMs offered by OpenAI directly as MLflow flavors to build and track useful language-based 
-                        applications.
+                        Learn how to leverage the advanced capabilities with semantic sentence embeddings within the Sentence Transformers package, using MLflow to simplify 
+                        inference, create custom deployable applications, and more.
                     </p>
                 </a>
             </div>
+        </article>
+    </section>
+
+
+General GenAI Guides 
+~~~~~~~~~~~~~~~~~~~~
+
+.. raw:: html
+
+    <section>
+        <article class="simple-grid">
+            <div class="simple-card">
+                <a href="llms/prompt-engineering/index.html" >
+                    <div class="header">
+                        Guide to the MLflow Prompt Engineering UI
+                    </div>
+                    <p>
+                        Explore the features and functions of MLflow's Prompt Engineering UI for development, testing, evaluation, and 
+                        deployment of validated prompts for your LLM use cases.
+                    </p>
+                </a>
+            </div>
+            <div class="simple-card">
+                <a href="llms/deployments/index.html" >
+                    <div class="header">
+                        Guide for the MLflow Deployments for LLMs
+                    </div>
+                    <p>
+                        Learn how to configure, setup, deploy, and use the MLflow Deployments for testing and production use cases of both 
+                        SaaS and custom open-source LLMs.
+                    </p>
+                </a>
+            </div>
+
             <div class="simple-card">
                 <a href="llms/llm-evaluate/index.html" >
                     <div class="header">
@@ -174,17 +211,6 @@ LLM Guides and Tutorials
                     </p>
                 </a>
             </div>
-            <div class="simple-card">
-                <a href="llms/sentence-transformers/index.html" >
-                    <div class="header">
-                        Guide to using Sentence Transformers in MLflow
-                    </div>
-                    <p>
-                        Learn how to leverage the advanced capabilities with semantic sentence embeddings within the Sentence Transformers package, using MLflow to simplify 
-                        inference, create custom deployable applications, and more.
-                    </p>
-                </a>
-            </div>
         </article>
     </section>
 

diff --git a/docs/source/llms/index.rst b/docs/source/llms/index.rst
@@ -256,7 +256,7 @@ Select the integration below to read the documentation on how to leverage MLflow
             </div>
         </a>
 
-        <a href="../models.html#langchain-langchain-experimental">
+        <a href="langchain/index.html">
             <div class="logo-card">
                 <img src="../_static/images/logos/langchain-logo.png" alt="LangChain Logo"/>
             </div>
@@ -299,6 +299,17 @@ Native Integration Guides and Tutorials
                     </p>
                 </a>
             </div>
+            <div class="simple-card">
+                <a href="langchain/index.html">
+                    <div class="header">
+                        LangChain
+                    </div>
+                    <p>
+                        Learn about MLflow's native integration with LangChain and see example notebooks that leverage 
+                        MLflow and LangChain to build LLM-backed applications.
+                    </p>
+                </a>
+            </div>
             <div class="simple-card">
                 <a href="sentence-transformers/index.html">
                     <div class="header">
@@ -320,22 +331,7 @@ Native Integration Guides and Tutorials
     transformers/index
     openai/index
     sentence-transformers/index
-
-Native Integration Examples
-^^^^^^^^^^^^^^^^^^^^^^^^^^^
-
-If you'd like to directly explore code examples for how to get started with using our official library integrations, you can navigate 
-directly to our up-to-date examples on GitHub below:
-
-* **langchain**
-
-    * `Logging and using a Chain <https://github.com/mlflow/mlflow/blob/master/examples/langchain/simple_chain.py>`_
-    * `Logging and using an Agent <https://github.com/mlflow/mlflow/blob/master/examples/langchain/simple_agent.py>`_
-    * `Logging and using a Retriever Chain <https://github.com/mlflow/mlflow/blob/master/examples/langchain/retriever_chain.py>`_ :sup:`1`
-    * `Logging and using a Retrieval QA Chain <https://github.com/mlflow/mlflow/blob/master/examples/langchain/retrieval_qa_chain.py>`_ :sup:`1`
-
-:sup:`1` Demonstrates the use of Retrieval Augmented Generation (RAG) using a Vector Store
-
+    langchain/index
 
 `LLM Tracking in MLflow <llm-tracking/index.html>`_
 ---------------------------------------------------