Replace branch attribute

Author: adam-cowley

asciidoc/courses/llm-chatbot-typescript/includes/test.adoc

@@ -16,6 +16,6 @@ npm run test {test-filename}
 [source,typescript]
 .{test-filename}
 ----
-include::{repository-raw}/{branch}/{test-file}[]
+include::{repository-raw}/main/{test-file}[]
 ----
 ====

asciidoc/courses/llm-chatbot-typescript/modules/2-chains/lessons/1-introduction-to-lcel/lesson.adoc

@@ -48,7 +48,7 @@ You can use the static `fromTemplate()` method to construct a new `PromptTemplat
 
 [source,typescript]
 ----
-include::{repository-raw}/{branch}/examples/chain.mjs[tag=prompt]
+include::{repository-raw}/main/examples/chain.mjs[tag=prompt]
 ----
 
 === The LLM
@@ -57,7 +57,7 @@ The prompt will be passed to an LLM, in this case, the `ChatOpenAI` model.
 
 [source,typescript]
 ----
-include::{repository-raw}/{branch}/examples/chain.mjs[tag=llm]
+include::{repository-raw}/main/examples/chain.mjs[tag=llm]
 ----
 
 
@@ -68,7 +68,7 @@ To create a new chain, call the `RunnableSequence.from` method, passing through
 
 [source,typescript]
 ----
-include::{repository-raw}/{branch}/examples/chain.mjs[tag=chain]
+include::{repository-raw}/main/examples/chain.mjs[tag=chain]
 ----
 
 
@@ -82,7 +82,7 @@ Because the prompt expects `{fruit}` as an input, you call the `.invoke()` metho
 
 [source,typescript]
 ----
-include::{repository-raw}/{branch}/examples/chain.mjs[tag=invoke, indent=0]
+include::{repository-raw}/main/examples/chain.mjs[tag=invoke, indent=0]
 ----
 
 
@@ -94,7 +94,7 @@ You can ensure type safety in your chains by defining input and output types on
 
 [source,typescript]
 ----
-include::{repository-raw}/{branch}/examples/chain.mjs[tag=types]
+include::{repository-raw}/main/examples/chain.mjs[tag=types]
 ----
 ====
 

asciidoc/courses/llm-chatbot-typescript/modules/2-chains/lessons/2-answer-generation/lesson.adoc

@@ -20,7 +20,7 @@ The chain will accept the following input:
 .Chain Input
 [source,typescript]
 ----
-include::{repository-raw}/{branch}/{lab-solution}[tag=interface]
+include::{repository-raw}/main/{lab-solution}[tag=interface]
 ----
 
 The chain will need to:
@@ -51,7 +51,7 @@ Use the following prompt as the first parameter.
 .Prompt
 [source]
 ----
-include::{repository-raw}/{branch}/prompts/{prompt-filename}[]
+include::{repository-raw}/main/prompts/{prompt-filename}[]
 ----
 
 Due to the nature of semantic search, the documents passed by the application to this prompt may not fully answer the question.
@@ -64,7 +64,7 @@ Your code should resemble the following:
 .Prompt Template
 [source,typescript,indent=0]
 ----
-include::{repository-raw}/{branch}/{lab-solution}[tag=prompt, indent=0]
+include::{repository-raw}/main/{lab-solution}[tag=prompt, indent=0]
 ----
 
 == Create the Runnable Sequence
@@ -74,7 +74,7 @@ The chain should pass the prompt to the LLM passed as a parameter, then format t
 
 [source,typescript]
 ----
-include::{repository-raw}/{branch}/{lab-solution}[tag=sequence, indent=0]
+include::{repository-raw}/main/{lab-solution}[tag=sequence, indent=0]
 ----
 
 Use the `return` keyword to return the chain from the function.
@@ -86,7 +86,7 @@ Use the `return` keyword to return the chain from the function.
 ====
 [source,js,indent=0]
 ----
-include::{repository-raw}/{branch}/{lab-solution}[tag=function]
+include::{repository-raw}/main/{lab-solution}[tag=function]
 ----
 ====
 
@@ -96,7 +96,7 @@ You will be able to initialize and run the chain in your application with the fo
 
 [source,typescript]
 ----
-include::{repository-raw}/{branch}/{lab-solution}[tag=usage]
+include::{repository-raw}/main/{lab-solution}[tag=usage]
 ----
 
 

asciidoc/courses/llm-chatbot-typescript/modules/2-chains/lessons/3-evaluating-responses/lesson.adoc

@@ -5,7 +5,7 @@
 :order: 3
 
 
-You may have noticed in the previous lesson that a you ran link:{repository-raw}/{branch}/{lab-filename}[a unit test used that validated the interaction with the LLM^].
+You may have noticed in the previous lesson that a you ran link:{repository-raw}/main/{lab-filename}[a unit test used that validated the interaction with the LLM^].
 
 Unit tests are not only a convenient way to test individual elements of an application.
 They also provide an automated way to test the response.
@@ -22,15 +22,15 @@ Before running any tests, the `beforeAll()` function creates an instance of the
 .Answer Evaluation Chain
 [source,typescript]
 ----
-include::{repository-raw}/{branch}/{lab-filename}[tag=evalchain,indent=0]
+include::{repository-raw}/main/{lab-filename}[tag=evalchain,indent=0]
 ----
 
 Each test in the suite uses this chain to evaluate the answer provided in the test.
 
 .Evaluating an answer
 [source,typescript]
 ----
-include::{repository-raw}/{branch}/{lab-filename}[tag=eval,indent=0]
+include::{repository-raw}/main/{lab-filename}[tag=eval,indent=0]
 ----
 
 The test uses a concatenation of the output of the evaluation chain and the original response, so if the evaluation does not return a _yes_, the response is appended to the test output to help debug the issue.

asciidoc/courses/llm-chatbot-typescript/modules/3-conversation-history/lessons/2-conversation-model/lesson.adoc

@@ -45,7 +45,7 @@ image::images/retrieval-model.png[The Retrieval Conversation History Data Model]
 // [source,cypher]
 // .Save Conversation History
 // ----
-// include::{repository-raw}/{branch}/cypher/save-response.cypher[]
+// include::{repository-raw}/main/cypher/save-response.cypher[]
 // ----
 // ====
 
@@ -79,7 +79,7 @@ Note also the addition of the `.cypher` property on the `(: Response)`, which wi
 // // TODO: Combine these - save-response.cypher
 // [source,cypher]
 // ----
-// include::{repository-raw}/{branch}/cypher/save-response.cypher[]
+// include::{repository-raw}/main/cypher/save-response.cypher[]
 // ----
 // ====
 
@@ -131,7 +131,7 @@ You will use the following Cypher statement to save conversation history to the
 
 [source,cypher]
 ----
-include::{repository-raw}/{branch}/cypher/save-response.cypher[]
+include::{repository-raw}/main/cypher/save-response.cypher[]
 ----
 
 The statement performs the following actions:

asciidoc/courses/llm-chatbot-typescript/modules/3-conversation-history/lessons/2-neo4j-graph/lesson.adoc

@@ -27,7 +27,7 @@ In `{lab-filename}`, find the `initGraph()` function.
 
 [source,typescript]
 ----
-include::{repository-raw}/{branch}/{lab-folder}/{lab-filename}[tag=graph]
+include::{repository-raw}/main/{lab-folder}/{lab-filename}[tag=graph]
 ----
 
 The code (1) defines a variable for storing the `Neo4jGraph` and (2) implements a function to either return an existing `Neo4jGraph` object or create a new one if it doesn't exist, employing the singleton pattern.
@@ -37,7 +37,7 @@ Inside the `if` statement, call the `Neo4jGraph.initialize()` method, passing th
 .Create the Neo4j Graph instance
 [source,typescript]
 ----
-include::{repository-raw}/{branch}/{lab-solution}[tag=create, indent=0]
+include::{repository-raw}/main/{lab-solution}[tag=create, indent=0]
 ----
 
 The `Neo4jGraph.initialize()` method will create a new `Neo4jGraph` instance and verify connectivity to the database.
@@ -47,7 +47,7 @@ Verifying connectivity ensures that the Neo4j credentials are correct and throws
 .Return the singleton
 [source,typescript]
 ----
-include::{repository-raw}/{branch}/{lab-solution}[tag=return, indent=0]
+include::{repository-raw}/main/{lab-solution}[tag=return, indent=0]
 ----
 
 
@@ -56,7 +56,7 @@ If you have followed the instructions correctly, your `initGraph` function shoul
 .initGraph
 [source,typescript]
 ----
-include::{repository-raw}/{branch}/{lab-solution}[tag=graph, indent=0]
+include::{repository-raw}/main/{lab-solution}[tag=graph, indent=0]
 ----
 
 

asciidoc/courses/llm-chatbot-typescript/modules/3-conversation-history/lessons/3-persisting-responses/lesson.adoc

@@ -43,7 +43,7 @@ To learn how to integrate Neo4j into a TypeScript project, link:/courses/app-typ
 
 [source,typescript]
 ----
-include::{repository-raw}/{branch}/src/solutions/modules/graph.ts[]
+include::{repository-raw}/main/src/solutions/modules/graph.ts[]
 ----
 =====
 
@@ -57,7 +57,7 @@ To save the history, modify the `saveHistory()` function.
 .saveHistory() Signature
 [source,typescript]
 ----
-include::{repository-raw}/{branch}/src/modules/agent/history.ts[tag=save]
+include::{repository-raw}/main/src/modules/agent/history.ts[tag=save]
 ----
 
 // TODO: switch to Neo4jGraph when the extra parameter is added
@@ -70,15 +70,15 @@ The statement should run in a write transaction.
 .Save Conversation History
 [source,cypher]
 ----
-include::{repository-raw}/{branch}/cypher/save-response.cypher[]
+include::{repository-raw}/main/cypher/save-response.cypher[]
 ----
 
 Your code should resemble the following:
 
 .Save History
 [source,typescript,indent=0]
 ----
-include::{repository-raw}/{branch}/src/solutions/modules/agent/history.ts[tag=savetx]
+include::{repository-raw}/main/src/solutions/modules/agent/history.ts[tag=savetx]
 ----
 
 
@@ -87,7 +87,7 @@ Finally, use the `id` key from the first object in the `res` array to return the
 .Return the Response ID
 [source,typescript,indent=0]
 ----
-include::{repository-raw}/{branch}/src/solutions/modules/agent/history.ts[tag=savereturn]
+include::{repository-raw}/main/src/solutions/modules/agent/history.ts[tag=savereturn]
 ----
 
 
@@ -98,7 +98,7 @@ include::{repository-raw}/{branch}/src/solutions/modules/agent/history.ts[tag=sa
 .The implemented saveHistory() Function
 [source,typescript]
 ----
-include::{repository-raw}/{branch}/src/solutions/modules/agent/history.ts[tag=save]
+include::{repository-raw}/main/src/solutions/modules/agent/history.ts[tag=save]
 ----
 
 ====
@@ -112,7 +112,7 @@ To retrieve the history saved in the previous function, you must modify the `get
 .getHistory() Signature
 [source,typescript]
 ----
-include::{repository-raw}/{branch}/src/modules/agent/history.ts[tag=get]
+include::{repository-raw}/main/src/modules/agent/history.ts[tag=get]
 ----
 
 // TODO: switch to Neo4jGraph when the extra parameter is added
@@ -124,7 +124,7 @@ Use the following Cypher statement as the first parameter to the `read()` functi
 .Get Conversation History
 [source,cypher]
 ----
-include::{repository-raw}/{branch}/cypher/get-history.cypher[]
+include::{repository-raw}/main/cypher/get-history.cypher[]
 ----
 
 Your code should resemble the following:
@@ -133,7 +133,7 @@ Your code should resemble the following:
 .Return the messages
 [source,typescript,indent=0]
 ----
-include::{repository-raw}/{branch}/src/solutions/modules/agent/history.ts[tag=gettx]
+include::{repository-raw}/main/src/solutions/modules/agent/history.ts[tag=gettx]
 ----
 
 
@@ -142,7 +142,7 @@ Finally, you can return the `res` variable.
 .Return the messages
 [source,typescript,indent=0]
 ----
-include::{repository-raw}/{branch}/src/solutions/modules/agent/history.ts[tag=getreturn]
+include::{repository-raw}/main/src/solutions/modules/agent/history.ts[tag=getreturn]
 ----
 
 
@@ -153,7 +153,7 @@ include::{repository-raw}/{branch}/src/solutions/modules/agent/history.ts[tag=ge
 .The Implemented getHistory() Function
 [source,typescript]
 ----
-include::{repository-raw}/{branch}/src/solutions/modules/agent/history.ts[tag=get]
+include::{repository-raw}/main/src/solutions/modules/agent/history.ts[tag=get]
 ----
 
 ====

asciidoc/courses/llm-chatbot-typescript/modules/3-conversation-history/lessons/4-rephrase-chain/lesson.adoc

@@ -16,7 +16,7 @@ The chain will accept the following input:
 .Chain Input
 [source,typescript]
 ----
-include::{repository-raw}/{branch}/{lab-solution}[tag=interface]
+include::{repository-raw}/main/{lab-solution}[tag=interface]
 ----
 
 
@@ -44,7 +44,7 @@ Use the `PromptTemplate.fromTemplate()` static method to create a new prompt tem
 [source]
 .Rephrase Question Prompt
 ----
-include::{repository-raw}/{branch}/prompts/{prompt-filename}[]
+include::{repository-raw}/main/prompts/{prompt-filename}[]
 ----
 
 Your code should resemble the following:
@@ -53,7 +53,7 @@ Your code should resemble the following:
 .Prompt Template
 [source,typescript,indent=0]
 ----
-include::{repository-raw}/{branch}/{lab-solution}[tag=prompt]
+include::{repository-raw}/main/{lab-solution}[tag=prompt]
 ----
 
 
@@ -73,7 +73,7 @@ Use the `return` keyword to return the sequence from the function.
 .Full Sequence
 [source,typescript]
 ----
-include::{repository-raw}/{branch}/{lab-solution}[tag=sequence,indent=0]
+include::{repository-raw}/main/{lab-solution}[tag=sequence,indent=0]
 ----
 
 [NOTE]
@@ -88,7 +88,7 @@ In the following code, the `.map()` method uses the `input` and `output` propert
 .Reformatting Messages
 [source,typescript]
 ----
-include::{repository-raw}/{branch}/{lab-solution}[tag=assign,indent=0]
+include::{repository-raw}/main/{lab-solution}[tag=assign,indent=0]
 ----
 ====
 
@@ -99,7 +99,7 @@ You could initialize and run the chain with the following code:
 
 [source,typescript, role=nocopy]
 ----
-include::{repository-raw}/{branch}/{lab-solution}[tag=usage]
+include::{repository-raw}/main/{lab-solution}[tag=usage]
 ----
 
 include::../../../../includes/test.adoc[leveloffset=+1]

asciidoc/courses/llm-chatbot-typescript/modules/4-vector-retrieval/lessons/1-vector-stores/lesson.adoc

@@ -52,15 +52,15 @@ Inside `{lab-file}`, you will find an `initVectorStore()` function.
 .initVectorStore
 [source,typescript]
 ----
-include::{repository-raw}/{branch}/src/{lab-file}[tag=function]
+include::{repository-raw}/main/src/{lab-file}[tag=function]
 ----
 
 Inside this function, use the `Neo4jVectorStore.fromExistingIndex()` method to create a new vector store instance.
 
 .Using an existing index
 [source,typescript]
 ----
-include::{repository-raw}/{branch}/{lab-solution}[tag=store, indent=0]
+include::{repository-raw}/main/{lab-solution}[tag=store, indent=0]
 ----
 
 [TIP]
@@ -80,15 +80,15 @@ Finally, return the `vectorStore` from the function.
 .Returning the vector store
 [source,typescript]
 ----
-include::{repository-raw}/{branch}/{lab-solution}[tag=return,indent=0]
+include::{repository-raw}/main/{lab-solution}[tag=return,indent=0]
 ----
 
 If you have followed the steps correctly, your code should resemble the following:
 
 .Returning the vector store
 [source,typescript]
 ----
-include::{repository-raw}/{branch}/{lab-solution}[tag=function,indent=0]
+include::{repository-raw}/main/{lab-solution}[tag=function,indent=0]
 ----