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Clean up notebook to reduce file sizes

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lisekarimi
2025-06-07 05:23:09 +02:00
parent e337e0b231
commit 6c25aa5e75
1 changed files with 27 additions and 14 deletions
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39
week5/community-contributions/08_rag_qa_assistant.ipynb
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@@ -51,7 +51,8 @@
"\n", "\n",
"---\n", "---\n",
"📢 Find more LLM notebooks on my [GitHub repository](https://github.com/lisekarimi/lexo)" "📢 Find more LLM notebooks on my [GitHub repository](https://github.com/lisekarimi/lexo)"
] ],
"outputs": []
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
@@ -59,7 +60,8 @@
"metadata": {}, "metadata": {},
"source": [ "source": [
"## 📥 Imports" "## 📥 Imports"
] ],
"outputs": []
}, },
{ {
"cell_type": "code", "cell_type": "code",
@@ -103,7 +105,8 @@
"metadata": {}, "metadata": {},
"source": [ "source": [
"## 🔐 Load env variables and configuration" "## 🔐 Load env variables and configuration"
] ],
"outputs": []
}, },
{ {
"cell_type": "code", "cell_type": "code",
@@ -132,7 +135,8 @@
"metadata": {}, "metadata": {},
"source": [ "source": [
"## 📄 Load files as Document objects into memory" "## 📄 Load files as Document objects into memory"
] ],
"outputs": []
}, },
{ {
"cell_type": "code", "cell_type": "code",
@@ -181,7 +185,8 @@
"metadata": {}, "metadata": {},
"source": [ "source": [
"## ✂️ Splitting documents into chunks" "## ✂️ Splitting documents into chunks"
] ],
"outputs": []
}, },
{ {
"cell_type": "code", "cell_type": "code",
@@ -239,7 +244,8 @@
"metadata": {}, "metadata": {},
"source": [ "source": [
"## 🧠 Chuncks Embedding" "## 🧠 Chuncks Embedding"
] ],
"outputs": []
}, },
{ {
"cell_type": "code", "cell_type": "code",
@@ -258,7 +264,8 @@
"metadata": {}, "metadata": {},
"source": [ "source": [
"## 💾 Save embedded chunks to Chroma database" "## 💾 Save embedded chunks to Chroma database"
] ],
"outputs": []
}, },
{ {
"cell_type": "code", "cell_type": "code",
@@ -303,7 +310,8 @@
"metadata": {}, "metadata": {},
"source": [ "source": [
"## 📊 Visualizing the Vector Store" "## 📊 Visualizing the Vector Store"
] ],
"outputs": []
}, },
{ {
"cell_type": "code", "cell_type": "code",
@@ -372,7 +380,8 @@
"metadata": {}, "metadata": {},
"source": [ "source": [
"![image.png](attachment:image.png)" "![image.png](attachment:image.png)"
] ],
"outputs": []
}, },
{ {
"cell_type": "code", "cell_type": "code",
@@ -426,7 +435,8 @@
"metadata": {}, "metadata": {},
"source": [ "source": [
"![image.png](attachment:image.png)" "![image.png](attachment:image.png)"
] ],
"outputs": []
}, },
{ {
"cell_type": "markdown", "cell_type": "markdown",
@@ -434,7 +444,8 @@
"metadata": {}, "metadata": {},
"source": [ "source": [
"## 🔍 Query Chroma" "## 🔍 Query Chroma"
] ],
"outputs": []
}, },
{ {
"cell_type": "code", "cell_type": "code",
@@ -492,7 +503,8 @@
"metadata": {}, "metadata": {},
"source": [ "source": [
"## 🗣️ LLM and answers" "## 🗣️ LLM and answers"
] ],
"outputs": []
}, },
{ {
"cell_type": "code", "cell_type": "code",
@@ -581,7 +593,8 @@
"metadata": {}, "metadata": {},
"source": [ "source": [
"## 🎛️ Gradio interface" "## 🎛️ Gradio interface"
] ],
"outputs": []
}, },
{ {
"cell_type": "code", "cell_type": "code",