mirror of
https://github.com/hwchase17/langchain
synced 2024-11-06 03:20:49 +00:00
Fixed typos in MongoDB Atlas Vector Search documentation (#7174)
Fix for typos in MongoDB Atlas Vector Search documentation <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced and you'd like a mention, we'll gladly shout you out! If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md -->
This commit is contained in:
parent
ee1d488c03
commit
38f853dfa3
@ -1,6 +1,7 @@
|
|||||||
{
|
{
|
||||||
"cells": [
|
"cells": [
|
||||||
{
|
{
|
||||||
|
"attachments": {},
|
||||||
"cell_type": "markdown",
|
"cell_type": "markdown",
|
||||||
"id": "683953b3",
|
"id": "683953b3",
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
@ -44,6 +45,7 @@
|
|||||||
]
|
]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
|
"attachments": {},
|
||||||
"cell_type": "markdown",
|
"cell_type": "markdown",
|
||||||
"id": "457ace44-1d95-4001-9dd5-78811ab208ad",
|
"id": "457ace44-1d95-4001-9dd5-78811ab208ad",
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
@ -63,6 +65,7 @@
|
|||||||
]
|
]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
|
"attachments": {},
|
||||||
"cell_type": "markdown",
|
"cell_type": "markdown",
|
||||||
"id": "1f3ecc42",
|
"id": "1f3ecc42",
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
@ -130,7 +133,7 @@
|
|||||||
"# initialize MongoDB python client\n",
|
"# initialize MongoDB python client\n",
|
||||||
"client = MongoClient(MONGODB_ATLAS_CLUSTER_URI)\n",
|
"client = MongoClient(MONGODB_ATLAS_CLUSTER_URI)\n",
|
||||||
"\n",
|
"\n",
|
||||||
"db_name = \"lanchain_db\"\n",
|
"db_name = \"langchain_db\"\n",
|
||||||
"collection_name = \"langchain_col\"\n",
|
"collection_name = \"langchain_col\"\n",
|
||||||
"collection = client[db_name][collection_name]\n",
|
"collection = client[db_name][collection_name]\n",
|
||||||
"index_name = \"langchain_demo\"\n",
|
"index_name = \"langchain_demo\"\n",
|
||||||
@ -156,6 +159,7 @@
|
|||||||
]
|
]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
|
"attachments": {},
|
||||||
"cell_type": "markdown",
|
"cell_type": "markdown",
|
||||||
"id": "851a2ec9-9390-49a4-8412-3e132c9f789d",
|
"id": "851a2ec9-9390-49a4-8412-3e132c9f789d",
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
@ -183,14 +187,14 @@
|
|||||||
"db_name = \"langchain_db\"\n",
|
"db_name = \"langchain_db\"\n",
|
||||||
"collection_name = \"langchain_col\"\n",
|
"collection_name = \"langchain_col\"\n",
|
||||||
"collection = client[db_name][collection_name]\n",
|
"collection = client[db_name][collection_name]\n",
|
||||||
"index_name = \"langchain_index\"\n",
|
"index_name = \"langchain_demo\"\n",
|
||||||
"\n",
|
"\n",
|
||||||
"# initialize vector store\n",
|
"# initialize vector store\n",
|
||||||
"vectorStore = MongoDBAtlasVectorSearch(\n",
|
"vectorStore = MongoDBAtlasVectorSearch(\n",
|
||||||
" collection, OpenAIEmbeddings(), index_name=index_name\n",
|
" collection, OpenAIEmbeddings(), index_name=index_name\n",
|
||||||
")\n",
|
")\n",
|
||||||
"\n",
|
"\n",
|
||||||
"# perform a similarity search between the embedding of the query and the embeddings of the documents\n",
|
"# perform a similarity search between a query and the ingested documents\n",
|
||||||
"query = \"What did the president say about Ketanji Brown Jackson\"\n",
|
"query = \"What did the president say about Ketanji Brown Jackson\"\n",
|
||||||
"docs = vectorStore.similarity_search(query)\n",
|
"docs = vectorStore.similarity_search(query)\n",
|
||||||
"\n",
|
"\n",
|
||||||
|
Loading…
Reference in New Issue
Block a user