Automated File Generation from Docs Notebook Changes (#1143)

Co-authored-by: joshreini1 <[email protected]>

docs/trulens_eval/all_tools.ipynb

@@ -28,7 +28,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# ! pip install trulens_eval openai langchain chromadb langchainhub bs4 tiktoken"
+    "# ! pip install trulens_eval openai langchain langchain-openai faiss-cpu bs4 tiktoken"
    ]
   },
   {
@@ -58,17 +58,13 @@
     "# Imports main tools:\n",
     "from trulens_eval import TruChain, Tru\n",
     "tru = Tru()\n",
-    "tru.reset_database()\n",
     "\n",
     "# Imports from LangChain to build app\n",
     "import bs4\n",
     "from langchain import hub\n",
     "from langchain.chat_models import ChatOpenAI\n",
     "from langchain.document_loaders import WebBaseLoader\n",
-    "from langchain.embeddings import OpenAIEmbeddings\n",
     "from langchain.schema import StrOutputParser\n",
-    "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
-    "from langchain.vectorstores import Chroma\n",
     "from langchain_core.runnables import RunnablePassthrough"
    ]
   },
@@ -110,17 +106,17 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "text_splitter = RecursiveCharacterTextSplitter(\n",
-    "    chunk_size=1000,\n",
-    "    chunk_overlap=200\n",
-    ")\n",
+    "from langchain_openai import OpenAIEmbeddings\n",
     "\n",
-    "splits = text_splitter.split_documents(docs)\n",
+    "embeddings = OpenAIEmbeddings()\n",
     "\n",
-    "vectorstore = Chroma.from_documents(\n",
-    "    documents=splits,\n",
-    "    embedding=OpenAIEmbeddings()\n",
-    ")"
+    "from langchain_community.vectorstores import FAISS\n",
+    "from langchain_text_splitters import RecursiveCharacterTextSplitter\n",
+    "\n",
+    "\n",
+    "text_splitter = RecursiveCharacterTextSplitter()\n",
+    "documents = text_splitter.split_documents(docs)\n",
+    "vectorstore = FAISS.from_documents(documents, embeddings)"
    ]
   },
   {