mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +00:00
Added langchain-community installation (#23741)
PR title: Docs enhancement - Description: Adding installation instructions for integrations requiring langchain-community package since 0.2 - Issue: https://github.com/langchain-ai/langchain/issues/22005 --------- Co-authored-by: ccurme <chester.curme@gmail.com>
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@ -26,7 +26,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"%pip install --upgrade --quiet ain-py"
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"%pip install --upgrade --quiet ain-py langchain-community"
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]
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@ -11,6 +11,15 @@
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"Vectorstores often have a hard time answering questions that requires computing, grouping and filtering structured data so the high level idea is to use a `pandas` dataframe to help with these types of questions. "
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"%pip install -qU langchain-community"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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@ -24,6 +24,15 @@
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"%pip install --upgrade --quiet amadeus > /dev/null"
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]
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"%pip install -qU langchain-community"
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]
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},
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"cell_type": "markdown",
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"metadata": {},
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@ -34,7 +34,8 @@
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"%pip install --upgrade --quiet azure-ai-formrecognizer > /dev/null\n",
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"%pip install --upgrade --quiet azure-cognitiveservices-speech > /dev/null\n",
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"%pip install --upgrade --quiet azure-ai-textanalytics > /dev/null\n",
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"%pip install --upgrade --quiet azure-ai-vision-imageanalysis > /dev/null"
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"%pip install --upgrade --quiet azure-ai-vision-imageanalysis > /dev/null\n",
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"%pip install -qU langchain-community"
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]
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},
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"%pip install --upgrade --quiet azure-ai-vision > /dev/null"
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]
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},
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"%pip install -qU langchain-community"
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]
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},
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"cell_type": "code",
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"execution_count": null,
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@ -11,6 +11,15 @@
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">It is a cloud-based project management solution for businesses of all sizes featuring communication and collaboration tools to help achieve organizational goals."
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"%pip install -qU langchain-community"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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@ -45,6 +45,16 @@
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"- You will get the answer from your knowledge as the response. \n"
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]
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},
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"cell_type": "code",
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"execution_count": null,
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"id": "bfe4510e",
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"metadata": {},
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"outputs": [],
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"source": [
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"%pip install -qU langchain-community"
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]
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},
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{
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"cell_type": "markdown",
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"id": "1435b193",
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@ -43,6 +43,15 @@
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"You can see a LangSmith trace of this example [here](https://smith.langchain.com/public/4af5385a-afe9-46f6-8a53-57fe2d63c5bc/r)."
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]
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"%pip install -qU langchain-community"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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@ -12,6 +12,16 @@
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"The high level idea is we will create a question-answering chain for each document, and then use that "
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]
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},
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"cell_type": "code",
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"execution_count": null,
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"id": "0dae50f1",
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"metadata": {},
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"outputs": [],
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"source": [
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"%pip install -qU langchain-community"
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]
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},
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"cell_type": "code",
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"execution_count": 1,
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},
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"outputs": [],
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"source": [
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"%pip install --upgrade --quiet pygithub"
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"%pip install --upgrade --quiet pygithub langchain-community"
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]
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},
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},
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"outputs": [],
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"source": [
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"%pip install --upgrade --quiet python-gitlab"
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"%pip install --upgrade --quiet python-gitlab langchain-community"
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]
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},
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@ -34,6 +34,15 @@
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"```"
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]
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"%pip install -qU langchain-community"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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@ -35,6 +35,20 @@
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"%pip install --upgrade --quiet atlassian-python-api"
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]
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},
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"cell_type": "code",
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"execution_count": null,
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"id": "e84d425c",
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"metadata": {
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"vscode": {
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"languageId": "shellscript"
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}
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},
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"outputs": [],
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"source": [
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"%pip install -qU langchain-community"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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@ -15,6 +15,16 @@
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"We will use the JSON agent to answer some questions about the API spec."
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]
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},
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"cell_type": "code",
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"execution_count": null,
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"id": "dc11cb15",
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"metadata": {},
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"outputs": [],
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"source": [
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"%pip install -qU langchain-community"
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]
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},
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{
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"cell_type": "markdown",
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"id": "893f90fd-f8f6-470a-a76d-1f200ba02e2f",
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"%pip install --upgrade --quiet multion langchain -q"
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]
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},
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"%pip install -qU langchain-community"
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]
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},
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"cell_type": "code",
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"execution_count": 37,
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"### Initializing the agent"
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]
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"cell_type": "code",
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"execution_count": null,
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"id": "e304b602",
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"metadata": {},
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"outputs": [],
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"source": [
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"%pip install -qU langchain-community"
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]
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"cell_type": "code",
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"outputs": [],
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"source": [
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"%pip install --upgrade --quiet O365\n",
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"%pip install --upgrade --quiet beautifulsoup4 # This is optional but is useful for parsing HTML messages"
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"%pip install --upgrade --quiet beautifulsoup4 # This is optional but is useful for parsing HTML messages\n",
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"%pip install -qU langchain-community"
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]
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},
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{
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"**Note:** these tools are not recommended for use outside a sandboxed environment! "
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]
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"%pip install -qU langchain-community"
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]
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"cell_type": "markdown",
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"metadata": {},
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": null,
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"metadata": {
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"tags": []
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},
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},
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": null,
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"metadata": {
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"tags": []
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {
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"tags": []
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},
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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"- Save your API key into GOLDEN_API_KEY env variable"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "f771643c",
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"metadata": {},
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"outputs": [],
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"source": [
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"%pip install -qU langchain-community"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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