Add new scrims to docs

docs/docs/additional_resources/tutorials/index.mdx

@@ -24,6 +24,9 @@ introduction to LangChain and a great first project for learning how to use Lang
 - [The basics (PromptTemplate + LLM)](https://scrimba.com/scrim/c6rD6Nt9)
 - [Adding an output parser](https://scrimba.com/scrim/co6ae44248eacc1abd87ae3dc)
 - [Attaching function calls to a model](https://scrimba.com/scrim/cof5449f5bc972f8c90be6a82)
+- [Composing multiple chains](https://scrimba.com/scrim/co14344c29595bfb29c41f12a)
+- [Retrieval chains](https://scrimba.com/scrim/co0e040d09941b4000244db46)
+- [Conversational retrieval chains ("Chat with Docs")](https://scrimba.com/scrim/co3ed4a9eb4c6c6d0361a507c)
 
 ### Deeper dives
 

docs/docs/expression_language/cookbook/adding_memory.mdx

@@ -1,6 +1,7 @@
 ---
 sidebar_position: 4
 title: Adding memory
+hide_table_of_contents: true
 ---
 
 # Adding memory

docs/docs/expression_language/cookbook/index.mdx

@@ -8,4 +8,7 @@ import DocCardList from "@theme/DocCardList";
 
 Example code for accomplishing common tasks with the LangChain Expression Language (LCEL). These examples show how to compose different Runnable (the core LCEL interface) components to achieve various tasks. If you're just getting acquainted with LCEL, the [Prompt + LLM](/docs/expression_language/cookbook/prompt_llm_parser) page is a good place to start.
 
+Several pages in this section include embedded interactive screencasts from [Scrimba](https://scrimba.com).
+They're a great resource for getting started - you can edit the included code whenever you want, just as if you were pair programming with a teacher!
+
 <DocCardList />

docs/docs/expression_language/cookbook/multiple_chains.mdx

@@ -1,11 +1,23 @@
 ---
-sidebar_position: 2
+sidebar_position: 1
 title: Multiple chains
+hide_table_of_contents: true
 ---
 
 # Multiple chains
 
-Runnables can easily be used to combine multiple Chains:
+Runnables can be used to combine multiple Chains together:
+
+<details>
+  <summary>Interactive tutorial</summary>
+  The screencast below interactively walks through a simple prompt template + LLM
+  chain. You can update and run the code as it's being written in the video!
+  <iframe
+    src="https://scrimba.com/scrim/co14344c29595bfb29c41f12a?embed=langchain,mini-header"
+    width="100%"
+    height="600px"
+  ></iframe>
+</details>
 
 import CodeBlock from "@theme/CodeBlock";
 

docs/docs/expression_language/cookbook/prompt_llm_parser.mdx

@@ -12,16 +12,16 @@ One of the most foundational Expression Language compositions is taking:
 
 Almost all other chains you build will use this building block.
 
-## Interactive walkthrough
-
-The below scrim from [Scrimba](https://scrimba.com/scrim/c6rD6Nt9) interactively walks through a simple prompt template + LLM chain.
-You can update and run the code **as it's being written in the video**:
-
-<iframe
-  src="https://scrimba.com/scrim/c6rD6Nt9?embed=langchain,mini-header"
-  width="100%"
-  height="600px"
-></iframe>
+<details>
+  <summary>Interactive tutorial</summary>
+  The screencast below interactively walks through a simple prompt template + LLM
+  chain. You can update and run the code as it's being written in the video!
+  <iframe
+    src="https://scrimba.com/scrim/c6rD6Nt9?embed=langchain,mini-header"
+    width="100%"
+    height="600px"
+  ></iframe>
+</details>
 
 ## PromptTemplate + LLM
 
@@ -39,6 +39,8 @@ Often times we want to attach kwargs to the model that's passed in. To do this,
 
 <details>
   <summary>Interactive tutorial</summary>
+  The screencast below interactively walks through a simple prompt template + LLM
+  chain. You can update and run the code as it's being written in the video!
   <iframe
     src="https://scrimba.com/scrim/co9704e389428fe2193eb955c?embed=langchain,mini-header"
     width="100%"
@@ -54,6 +56,8 @@ import StopSequenceExample from "@examples/guides/expression_language/cookbook_s
 
 <details>
   <summary>Interactive tutorial</summary>
+  The screencast below interactively walks through a simple prompt template + LLM
+  chain. You can update and run the code as it's being written in the video!
   <iframe
     src="https://scrimba.com/scrim/cof5449f5bc972f8c90be6a82?embed=langchain,mini-header"
     width="100%"
@@ -69,6 +73,8 @@ import FunctionCallExample from "@examples/guides/expression_language/cookbook_f
 
 <details>
   <summary>Interactive tutorial</summary>
+  The screencast below interactively walks through a simple prompt template + LLM
+  chain. You can update and run the code as it's being written in the video!
   <iframe
     src="https://scrimba.com/scrim/co6ae44248eacc1abd87ae3dc?embed=langchain,mini-header"
     width="100%"

docs/docs/expression_language/cookbook/retrieval.mdx

@@ -1,12 +1,24 @@
 ---
-sidebar_position: 1
+sidebar_position: 2
 title: Retrieval augmented generation (RAG)
+hide_table_of_contents: true
 ---
 
 # RAG
 
 Let's now look at adding in a retrieval step to a prompt and an LLM, which adds up to a "retrieval-augmented generation" chain:
 
+<details>
+  <summary>Interactive tutorial</summary>
+  The screencast below interactively walks through a simple prompt template + LLM
+  chain. You can update and run the code as it's being written in the video!
+  <iframe
+    src="https://scrimba.com/scrim/co0e040d09941b4000244db46?embed=langchain,mini-header"
+    width="100%"
+    height="600px"
+  ></iframe>
+</details>
+
 import CodeBlock from "@theme/CodeBlock";
 import RetrieverExample from "@examples/guides/expression_language/cookbook_retriever.ts";
 
@@ -17,6 +29,17 @@ import RetrieverExample from "@examples/guides/expression_language/cookbook_retr
 Because `RunnableSequence.from` and `runnable.pipe` both accept runnable-like objects, including single-argument functions, we can add in conversation history via a formatting function.
 This allows us to recreate the popular `ConversationalRetrievalQAChain` to "chat with data":
 
+<details>
+  <summary>Interactive tutorial</summary>
+  The screencast below interactively walks through a simple prompt template + LLM
+  chain. You can update and run the code as it's being written in the video!
+  <iframe
+    src="https://scrimba.com/scrim/co3ed4a9eb4c6c6d0361a507c?embed=langchain,mini-header"
+    width="100%"
+    height="600px"
+  ></iframe>
+</details>
+
 import ConversationalRetrievalExample from "@examples/guides/expression_language/cookbook_conversational_retrieval.ts";
 
 <CodeBlock language="typescript">{ConversationalRetrievalExample}</CodeBlock>

docs/docs/expression_language/cookbook/sql_db.mdx

@@ -1,6 +1,7 @@
 ---
 sidebar_position: 3
 title: Querying a SQL DB
+hide_table_of_contents: true
 ---
 
 # Querying a SQL DB

docs/docs/expression_language/cookbook/tools.mdx

@@ -1,6 +1,7 @@
 ---
 sidebar_position: 5
 title: Using tools
+hide_table_of_contents: true
 ---
 
 # Using tools

docs/docs/expression_language/index.mdx

@@ -8,6 +8,9 @@ hide_table_of_contents: true
 LangChain Expression Language or LCEL is a declarative way to easily compose chains together.
 Any chain constructed this way will automatically have full sync, async, and streaming support.
 
+If you're looking for a good place to get started, check out the [Cookbook section](/docs/expression_language/cookbook) - it shows off
+the various Expression Language pieces in order from simple to more complex.
+
 #### [Interface](/docs/expression_language/interface)
 
 The base interface shared by all LCEL objects

docs/sidebars.js

@@ -54,6 +54,11 @@ module.exports = {
         id: "modules/index",
       },
     },
+    {
+      type: "doc",
+      label: "Security",
+      id: "security",
+    },
     {
       type: "category",
       label: "Guides",