From 59c3c344df3701f5fcfa6f13404cf8e2e3d80a6f Mon Sep 17 00:00:00 2001
From: Leonid Ganeline <leo.gan.57@gmail.com>
Date: Sun, 17 Dec 2023 14:54:48 -0800
Subject: [PATCH] docs redundant pages (#14774)

[ScaNN](https://python.langchain.com/docs/integrations/providers/scann)
and
[DynamoDB](https://python.langchain.com/docs/integrations/platforms/aws#aws-dynamodb)
pages in `providers` are redundant because we have those references in
the Google and AWS platform pages. It is confusing.
- I removed unnecessary pages, redirected files to new nams;
---
 .../integrations/providers/aws_dynamodb.mdx   | 23 ---------------
 docs/docs/integrations/providers/scann.mdx    | 29 -------------------
 docs/vercel.json                              |  8 +++++
 3 files changed, 8 insertions(+), 52 deletions(-)
 delete mode 100644 docs/docs/integrations/providers/aws_dynamodb.mdx
 delete mode 100644 docs/docs/integrations/providers/scann.mdx

diff --git a/docs/docs/integrations/providers/aws_dynamodb.mdx b/docs/docs/integrations/providers/aws_dynamodb.mdx
deleted file mode 100644
index 70c16295f0..0000000000
--- a/docs/docs/integrations/providers/aws_dynamodb.mdx
+++ /dev/null
@@ -1,23 +0,0 @@
-# AWS DynamoDB
-
->[AWS DynamoDB](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/dynamodb/index.html) 
-> is a fully managed `NoSQL` database service that provides fast and predictable performance with seamless scalability.
- 
-## Installation and Setup
-
-We have to configur the [AWS CLI](https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-configure.html). 
-
-We need to install the `boto3` library.
-
-```bash
-pip install boto3
-```
-
-
-## Memory
-
-See a [usage example](/docs/integrations/memory/aws_dynamodb).
-
-```python
-from langchain.memory import DynamoDBChatMessageHistory
-```
diff --git a/docs/docs/integrations/providers/scann.mdx b/docs/docs/integrations/providers/scann.mdx
deleted file mode 100644
index f801207b82..0000000000
--- a/docs/docs/integrations/providers/scann.mdx
+++ /dev/null
@@ -1,29 +0,0 @@
-# ScaNN
-
->[Google ScaNN](https://github.com/google-research/google-research/tree/master/scann)
-> (Scalable Nearest Neighbors) is a python package.
-> 
->`ScaNN` is a method for efficient vector similarity search at scale.
-
->ScaNN includes search space pruning and quantization for Maximum Inner
-> Product Search and also supports other distance functions such as
-> Euclidean distance. The implementation is optimized for x86 processors
-> with AVX2 support. See its [Google Research github](https://github.com/google-research/google-research/tree/master/scann)
-> for more details.
-
-## Installation and Setup
-
-We need to install `scann` python package.
-
-```bash
-pip install scann
-```
-
-## Vector Store
-
-See a [usage example](/docs/integrations/vectorstores/scann).
-
-```python
-from langchain.vectorstores import ScaNN
-```
-
diff --git a/docs/vercel.json b/docs/vercel.json
index a12ad16193..9da85a91d9 100644
--- a/docs/vercel.json
+++ b/docs/vercel.json
@@ -1,5 +1,13 @@
 {
   "redirects": [
+    {
+      "source": "/docs/integrations/providers/aws_dynamodb",
+      "destination": "/docs/integrations/platforms/aws#aws-dynamodb"
+    },
+    {
+      "source": "/docs/integrations/providers/scann",
+      "destination": "/docs/integrations/platforms/google#google-scann"
+    },
     {
       "source": "/docs/integrations/toolkits/google_drive",
       "destination": "/docs/integrations/tools/google_drive"