github/langchain
1
0
Fork 0
mirror of https://github.com/hwchase17/langchain.git synced 2025-07-19 19:11:33 +00:00
Code Issues Packages Projects Releases Wiki Activity

fix typo (#25673)

Browse Source
This commit is contained in:
sslee 2024-08-22 13:33:53 -04:00 committed by GitHub
parent d886f4e107
commit 61228da1c4
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
3 changed files with 18 additions and 8 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
cookbook/Multi_modal_RAG_google.ipynb
View File

@ -445,7 +445,7 @@
"\n", "\n",
"\n", "\n",
"def plt_img_base64(img_base64):\n", "def plt_img_base64(img_base64):\n",
" \"\"\"Disply base64 encoded string as image\"\"\"\n", " \"\"\"Display base64 encoded string as image\"\"\"\n",
" # Create an HTML img tag with the base64 string as the source\n", " # Create an HTML img tag with the base64 string as the source\n",
" image_html = f'<img src=\"data:image/jpeg;base64,{img_base64}\" />'\n", " image_html = f'<img src=\"data:image/jpeg;base64,{img_base64}\" />'\n",
" # Display the image by rendering the HTML\n", " # Display the image by rendering the HTML\n",

11
cookbook/langgraph_self_rag.ipynb
View File

@ -336,7 +336,7 @@
" # Create a prompt template with format instructions and the query\n", " # Create a prompt template with format instructions and the query\n",
" prompt = PromptTemplate(\n", " prompt = PromptTemplate(\n",
" template=\"\"\"You are generating questions that is well optimized for retrieval. \\n \n", " template=\"\"\"You are generating questions that is well optimized for retrieval. \\n \n",
" Look at the input and try to reason about the underlying sematic intent / meaning. \\n \n", " Look at the input and try to reason about the underlying semantic intent / meaning. \\n \n",
" Here is the initial question:\n", " Here is the initial question:\n",
" \\n ------- \\n\n", " \\n ------- \\n\n",
" {question} \n", " {question} \n",
@ -643,7 +643,7 @@
], ],
"metadata": { "metadata": {
"kernelspec": { "kernelspec": {
"display_name": "Python 3 (ipykernel)", "display_name": "Python 3.11.1 64-bit",
"language": "python", "language": "python",
"name": "python3" "name": "python3"
}, },
@ -657,7 +657,12 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.9.16" "version": "3.11.1"
},
"vscode": {
"interpreter": {
"hash": "1a1af0ee75eeea9e2e1ee996c87e7a2b11a0bebd85af04bb136d915cefc0abce"
}
} }
}, },
"nbformat": 4, "nbformat": 4,

13
cookbook/rag-locally-on-intel-cpu.ipynb
View File

@ -647,7 +647,7 @@
"metadata": {}, "metadata": {},
"source": [ "source": [
"**Now we see the results are correct as it is mentioned in earnings release.** <br>\n", "**Now we see the results are correct as it is mentioned in earnings release.** <br>\n",
"**To further automate, we will create a chain that will take input as question and retriever so that we don't need to retrieve documents seperately**" "**To further automate, we will create a chain that will take input as question and retriever so that we don't need to retrieve documents separately**"
] ]
}, },
{ {
@ -734,9 +734,9 @@
], ],
"metadata": { "metadata": {
"kernelspec": { "kernelspec": {
"display_name": "rag-on-intel", "display_name": "Python 3.11.1 64-bit",
"language": "python", "language": "python",
"name": "rag-on-intel" "name": "python3"
}, },
"language_info": { "language_info": {
"codemirror_mode": { "codemirror_mode": {
@ -748,7 +748,12 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.11.9" "version": "3.11.1"
},
"vscode": {
"interpreter": {
"hash": "1a1af0ee75eeea9e2e1ee996c87e7a2b11a0bebd85af04bb136d915cefc0abce"
}
} }
}, },
"nbformat": 4, "nbformat": 4,