docs: integrations reference updates 11 (#25598)

Added missed provider pages and links.

docs/docs/integrations/providers/dria.mdx

@@ -0,0 +1,25 @@
+# Dria
+
+>[Dria](https://dria.co/) is a hub of public RAG models for developers to 
+> both contribute and utilize a shared embedding lake.
+
+See more details about the LangChain integration with Dria 
+at [this page](https://dria.co/docs/integrations/langchain).
+
+## Installation and Setup
+
+You have to install a python package:
+
+```bash
+pip install dria
+```
+
+You have to get an API key from Dria. You can get it by signing up at [Dria](https://dria.co/).
+
+## Retrievers
+
+See a [usage example](/docs/integrations/retrievers/dria_index).
+
+```python
+from langchain_community.retrievers import DriaRetriever
+```

docs/docs/integrations/providers/duckduckgo_search.mdx

@@ -0,0 +1,25 @@
+# DuckDuckGo Search
+
+>[DuckDuckGo Search](https://github.com/deedy5/duckduckgo_search) is a package that
+> searches for words, documents, images, videos, news, maps and text
+> translation using the `DuckDuckGo.com` search engine. It is downloading files 
+> and images to a local hard drive.
+
+## Installation and Setup
+
+You have to install a python package:
+
+```bash
+pip install duckduckgo-search
+```
+
+## Tools
+
+See a [usage example](/docs/integrations/tools/ddg).
+
+There are two tools available:
+
+```python
+from langchain_community.tools import DuckDuckGoSearchRun
+from langchain_community.tools import DuckDuckGoSearchResults
+```

docs/docs/integrations/providers/e2b.mdx

@@ -0,0 +1,20 @@
+# E2B
+
+>[E2B](https://e2b.dev/) provides open-source secure sandboxes 
+> for AI-generated code execution. See more [here](https://github.com/e2b-dev).
+
+## Installation and Setup
+
+You have to install a python package:
+
+```bash
+pip install e2b_code_interpreter
+```
+
+## Tool
+
+See a [usage example](/docs/integrations/tools/e2b_data_analysis).
+
+```python
+from langchain_community.tools import E2BDataAnalysisTool
+```

docs/docs/integrations/providers/elasticsearch.mdx

@@ -6,11 +6,14 @@
 
 ## Installation and Setup
 
+### Setup Elasticsearch
+
 There are two ways to get started with Elasticsearch:
 
-#### Install Elasticsearch on your local machine via docker
+#### Install Elasticsearch on your local machine via Docker
 
-Example: Run a single-node Elasticsearch instance with security disabled. This is not recommended for production use.
+Example: Run a single-node Elasticsearch instance with security disabled. 
+This is not recommended for production use.
 
 ```bash
     docker run -p 9200:9200 -e "discovery.type=single-node" -e "xpack.security.enabled=false" -e "xpack.security.http.ssl.enabled=false" docker.elastic.co/elasticsearch/elasticsearch:8.9.0
@@ -18,7 +21,7 @@ Example: Run a single-node Elasticsearch instance with security disabled. This i
 
 #### Deploy Elasticsearch on Elastic Cloud
 
-Elastic Cloud is a managed Elasticsearch service. Signup for a [free trial](https://cloud.elastic.co/registration?utm_source=langchain&utm_content=documentation).
+`Elastic Cloud` is a managed Elasticsearch service. Signup for a [free trial](https://cloud.elastic.co/registration?utm_source=langchain&utm_content=documentation).
 
 ### Install Client
 
@@ -43,7 +46,34 @@ See a [usage example](/docs/integrations/vectorstores/elasticsearch).
 from langchain_elasticsearch import ElasticsearchStore
 ```
 
+### Third-party integrations
 
+#### EcloudESVectorStore
+
+```python
+from langchain_community.vectorstores.ecloud_vector_search import EcloudESVectorStore
+```
+
+## Retrievers
+
+### ElasticsearchRetriever
+
+The `ElasticsearchRetriever` enables flexible access to all Elasticsearch features 
+through the Query DSL. 
+
+See a [usage example](/docs/integrations/retrievers/elasticsearch_retriever).
+
+```python
+from langchain_elasticsearch import ElasticsearchRetriever
+```
+
+### BM25
+
+See a [usage example](/docs/integrations/retrievers/elastic_search_bm25).
+
+```python
+from langchain_community.retrievers import ElasticSearchBM25Retriever
+```
 ## Memory
 
 See a [usage example](/docs/integrations/memory/elasticsearch_chat_message_history).
@@ -67,3 +97,12 @@ See a [usage example](/docs/integrations/stores/elasticsearch).
 ```python
 from langchain_elasticsearch import ElasticsearchEmbeddingsCache
 ```
+
+## Chain
+
+It is a chain for interacting with Elasticsearch Database.
+
+```python
+from langchain.chains.elasticsearch_database import ElasticsearchDatabaseChain
+```
+