incorporate links to notebooks

Author: lfunderburk

ch6/README.md

@@ -87,4 +87,27 @@ To add new dependencies, modify the dependencies in the [pyproject.toml](./pypro
 just develop
 ```
 
-to update. 
+to update. 
+
+## Pipelines
+
+### Case I: Q&A for simple text with custom components
+
+The pipelines can be found here:
+
+1. [Indexing pipeline with custom components to extract, chunk and embed information from a JSONL file](./indexingpipeline.py)
+2. [Querying pipeline with prompt templating to retrieve information](./query_pipeline.png)
+
+[](./benzinga_pipeline.png)
+
+Indexing pipeline
+
+[](./query_pipeline.png)
+
+Query pipeline
+
+### Case II: Q&A for a complex knowledge base
+
+The notebook includes an indexing pipeline to extract, chunk and embed information from the Haystack tutorials as well as a querying pipeline with a specific role (software engineer) to build code from the tutorials.
+
+[Notebook](./bonus-build-from-tutorials/rag-tutorials.ipynb)

ch6/bonus-build-from-tutorials/rag-tutorials.ipynb

@@ -75,6 +75,15 @@
     "indexing_pipeline.connect(\"embedder\", \"writer\")"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "indexing_pipeline.draw(\"indexing_complex_knowledge.png\")"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -217,6 +226,22 @@
     "pipeline.connect(\"prompt_builder\", \"llm\")"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pipeline.draw(\"answer_generation_pipeline.png\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "[](./indexing_complex_knowledge.png)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 13,