docs: providers update 4 (#18540)

Created the `facebook` page from `facebook_faiss` and `facebook_chat`
pages. Added another Facebook integrations into this page.
Updated `discord` page.

docs/docs/integrations/providers/discord.mdx

@@ -6,7 +6,6 @@
 
 ## Installation and Setup
 
-
 ```bash
 pip install pandas
 ```
@@ -25,6 +24,15 @@ with Discord. That email will have a download button using which you would be ab
 
 See a [usage example](/docs/integrations/document_loaders/discord).
 
+**NOTE:** The  `DiscordChatLoader` is not the `ChatLoader` but a `DocumentLoader`. 
+It is used to load the data from the `Discord` data dump.
+For the `ChatLoader` see Chat Loader section below.
+
 ```python
 from langchain_community.document_loaders import DiscordChatLoader
 ```
+
+## Chat Loader
+
+See a [usage example](/docs/integrations/chat_loaders/discord).
+

docs/docs/integrations/providers/facebook.mdx

@@ -0,0 +1,93 @@
+# Facebook - Meta
+
+>[Meta Platforms, Inc.](https://www.facebook.com/), doing business as `Meta`, formerly 
+> named `Facebook, Inc.`, and `TheFacebook, Inc.`, is an American multinational technology 
+> conglomerate. The company owns and operates `Facebook`, `Instagram`, `Threads`, 
+> and `WhatsApp`, among other products and services.
+ 
+## Embedding models
+
+### LASER
+
+>[LASER](https://github.com/facebookresearch/LASER) is a Python library developed by 
+> the `Meta AI Research` team and used for 
+> creating multilingual sentence embeddings for 
+> [over 147 languages as of 2/25/2024](https://github.com/facebookresearch/flores/blob/main/flores200/README.md#languages-in-flores-200) 
+
+```bash
+pip install laser_encoders
+```
+
+See a [usage example](/docs/integrations/text_embedding/laser).
+
+```python
+from langchain_community.embeddings.laser import LaserEmbeddings
+```
+
+## Document loaders
+
+### Facebook Messenger
+
+>[Messenger](https://en.wikipedia.org/wiki/Messenger_(software)) is an instant messaging app and 
+> platform developed by `Meta Platforms`. Originally developed as `Facebook Chat` in 2008, the company revamped its
+> messaging service in 2010.
+
+See a [usage example](/docs/integrations/document_loaders/facebook_chat).
+
+```python
+from langchain_community.document_loaders import FacebookChatLoader
+```
+
+## Vector stores
+
+### Facebook Faiss
+
+>[Facebook AI Similarity Search (Faiss)](https://engineering.fb.com/2017/03/29/data-infrastructure/faiss-a-library-for-efficient-similarity-search/) 
+> is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that 
+> search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting 
+> code for evaluation and parameter tuning.
+
+[Faiss documentation](https://faiss.ai/).
+
+We need to install `faiss` python package.
+
+```bash
+pip install faiss-gpu # For CUDA 7.5+ supported GPU's.
+```
+
+OR
+
+```bash
+pip install faiss-cpu # For CPU Installation
+```
+
+See a [usage example](/docs/integrations/vectorstores/faiss).
+
+```python
+from langchain_community.vectorstores import FAISS
+```
+
+## Chat loaders
+
+### Facebook Messenger
+
+>[Messenger](https://en.wikipedia.org/wiki/Messenger_(software)) is an instant messaging app and 
+> platform developed by `Meta Platforms`. Originally developed as `Facebook Chat` in 2008, the company revamped its
+> messaging service in 2010.
+
+See a [usage example](/docs/integrations/chat_loaders/facebook).
+
+```python
+from langchain_community.chat_loaders.facebook_messenger import (
+    FolderFacebookMessengerChatLoader,
+    SingleFileFacebookMessengerChatLoader,
+)
+```
+
+### Facebook WhatsApp
+
+See a [usage example](/docs/integrations/chat_loaders/whatsapp).
+
+```python
+from langchain_community.chat_loaders.whatsapp import WhatsAppChatLoader
+```

docs/docs/integrations/providers/facebook_chat.mdx

@@ -1,21 +0,0 @@
-# Facebook Chat
-
->[Messenger](https://en.wikipedia.org/wiki/Messenger_(software)) is an American proprietary instant messaging app and 
-> platform developed by `Meta Platforms`. Originally developed as `Facebook Chat` in 2008, the company revamped its
-> messaging service in 2010.
-
-## Installation and Setup
-
-First, you need to install `pandas` python package.
-
-```bash
-pip install pandas
-```
-
-## Document Loader
-
-See a [usage example](/docs/integrations/document_loaders/facebook_chat).
-
-```python
-from langchain_community.document_loaders import FacebookChatLoader
-```

docs/docs/integrations/providers/facebook_faiss.mdx

@@ -1,32 +0,0 @@
-# Facebook Faiss
-
->[Facebook AI Similarity Search (Faiss)](https://engineering.fb.com/2017/03/29/data-infrastructure/faiss-a-library-for-efficient-similarity-search/) 
-> is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that 
-> search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting 
-> code for evaluation and parameter tuning.
-
-[Faiss documentation](https://faiss.ai/).
-
-
-## Installation and Setup
-
-We need to install `faiss` python package.
-
-```bash
-pip install faiss-gpu # For CUDA 7.5+ supported GPU's.
-```
-
-OR
-
-```bash
-pip install faiss-cpu # For CPU Installation
-```
-
-
-## Vector Store
-
-See a [usage example](/docs/integrations/vectorstores/faiss).
-
-```python
-from langchain_community.vectorstores import FAISS
-```

docs/vercel.json

@@ -1,5 +1,13 @@
 {
   "redirects": [
+    {
+      "source": "/docs/integrations/providers/facebook_chat",
+      "destination": "/docs/integrations/providers/facebook"
+    },
+    {
+      "source": "/docs/integrations/providers/facebook_faiss",
+      "destination": "/docs/integrations/providers/facebook"
+    },
     {
       "source": "/docs/use_cases/graph/diffbot_graphtransformer",
       "destination": "/docs/use_cases/graph/integrations/diffbot_graphtransformer"