Package updates, more Ollama, fixes

week5/community-contributions/day3 - extended for Obsidian files and separate ingestion.ipynb

@@ -388,7 +388,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.10"
+   "version": "3.11.11"
   }
  },
  "nbformat": 4,

week5/community-contributions/day4 - taking advantage of separate ingestion.ipynb

@@ -421,7 +421,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.10"
+   "version": "3.11.11"
   }
  },
  "nbformat": 4,

week5/day1.ipynb

@@ -256,7 +256,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.10"
+   "version": "3.11.11"
   }
  },
  "nbformat": 4,

week5/day2.ipynb

@@ -169,14 +169,6 @@
     "        print(chunk)\n",
     "        print(\"_________\")"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "6965971c-fb97-482c-a497-4e81a0ac83df",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
@@ -195,7 +187,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.10"
+   "version": "3.11.11"
   }
  },
  "nbformat": 4,

week5/day3.ipynb

@@ -352,7 +352,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.10"
+   "version": "3.11.11"
   }
  },
  "nbformat": 4,

week5/day4.5.ipynb

@@ -214,7 +214,9 @@
    "source": [
     "## Visualizing the Vector Store\n",
     "\n",
-    "Let's take a minute to look at the documents and their embedding vectors to see what's going on."
+    "Let's take a minute to look at the documents and their embedding vectors to see what's going on.\n",
+    "\n",
+    "(As a sidenote, what we're really looking at here is the distribution of the Vectors generated by OpenAIEmbeddings, retrieved from FAISS. So there's no surprise that they look the same whether they are \"from\" FAISS or Chroma.)"
    ]
   },
   {
@@ -326,6 +328,17 @@
     "print(result[\"answer\"])"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "987dadc5-5d09-4059-8f2e-733d66ecc696",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "memory = ConversationBufferMemory(memory_key='chat_history', return_messages=True)\n",
+    "conversation_chain = ConversationalRetrievalChain.from_llm(llm=llm, retriever=retriever, memory=memory)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "bbbcb659-13ce-47ab-8a5e-01b930494964",
@@ -387,7 +400,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.10"
+   "version": "3.11.11"
   }
  },
  "nbformat": 4,

week5/day4.ipynb

@@ -404,7 +404,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.10"
+   "version": "3.11.11"
   }
  },
  "nbformat": 4,

week5/day5.ipynb

@@ -50,7 +50,8 @@
     "import numpy as np\n",
     "import plotly.graph_objects as go\n",
     "from langchain.memory import ConversationBufferMemory\n",
-    "from langchain.chains import ConversationalRetrievalChain"
+    "from langchain.chains import ConversationalRetrievalChain\n",
+    "from langchain.embeddings import HuggingFaceEmbeddings"
    ]
   },
   {
@@ -147,6 +148,10 @@
     "\n",
     "embeddings = OpenAIEmbeddings()\n",
     "\n",
+    "# If you would rather use the free Vector Embeddings from HuggingFace sentence-transformers\n",
+    "# Then uncomment this line instead\n",
+    "# embeddings = HuggingFaceEmbeddings(model_name=\"sentence-transformers/all-MiniLM-L6-v2\")\n",
+    "\n",
     "# Delete if already exists\n",
     "\n",
     "if os.path.exists(db_name):\n",
@@ -289,6 +294,9 @@
     "# create a new Chat with OpenAI\n",
     "llm = ChatOpenAI(temperature=0.7, model_name=MODEL)\n",
     "\n",
+    "# Alternative - if you'd like to use Ollama locally, uncomment this line instead\n",
+    "# llm = ChatOpenAI(temperature=0.7, model_name='llama3.2', base_url='http://localhost:11434/v1', api_key='ollama')\n",
+    "\n",
     "# set up the conversation memory for the chat\n",
     "memory = ConversationBufferMemory(memory_key='chat_history', return_messages=True)\n",
     "\n",
@@ -427,7 +435,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "view = gr.ChatInterface(chat).launch()"
+    "view = gr.ChatInterface(chat, type=\"messages\").launch(inbrowser=True)"
    ]
   },
   {
@@ -465,7 +473,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.10"
+   "version": "3.11.11"
   }
  },
  "nbformat": 4,