[UPDATE] Valyu 0.2.0 langchain package (#31363)

docs: update Valyu integration notebooks to reflect current
langchain-valyu package implementation

Updated the Valyu integration documentation notebooks to align with the
current implementation of the langchain-valyu package. The changes
include:

- Updated ValyuContextRetriever to ValyuRetriever class name
- Changed parameter name from similarity_threshold to
relevance_threshold
- Removed query_rewrite parameter from search tool examples
- Added start_date and end_date parameters for time filtering
- Updated default values to match current implementation
(relevance_threshold: 0.5)
- Enhanced parameter documentation with proper descriptions and
constraints
- Updated section titles to reflect "Deep Search" functionality

docs/docs/integrations/providers/valyu.ipynb

@@ -4,13 +4,12 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# ValyuContext\n",
+    "# Valyu Deep Search\n",
-    "\n",
     ">[Valyu](https://www.valyu.network/) allows AI applications and agents to search the internet and proprietary data sources for relevant LLM ready information.\n",
     "\n",
     "This notebook goes over how to use Valyu in LangChain.\n",
     "\n",
-    "First, get an Valyu API key and add it as an environment variable. Get $10 free credit  by [signing up here](https://exchange.valyu.network/).\n",
+    "First, get an Valyu API key and add it as an environment variable. Get $10 free credit  by [signing up here](https://platform.valyu.network/).\n",
     "\n",
     "## Setup\n",
     "\n",
@@ -43,12 +42,20 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain_valyu import ValyuContextRetriever\n",
+    "from langchain_valyu import ValyuRetriever\n",
     "\n",
     "valyu_api_key = \"YOUR API KEY\"\n",
     "\n",
-    "# Create a new instance of the ValyuContextRetriever\n",
+    "# Create a new instance of the ValyuRetriever\n",
-    "valyu_retriever = ValyuContextRetriever(valyu_api_key=valyu_api_key)\n",
+    "valyu_retriever = ValyuRetriever(\n",
+    "    k=5,\n",
+    "    search_type=\"all\",\n",
+    "    relevance_threshold=0.5,\n",
+    "    max_price=20.0,\n",
+    "    start_date=\"2024-01-01\",\n",
+    "    end_date=\"2024-12-31\",\n",
+    "    valyu_api_key=valyu_api_key,\n",
+    ")\n",
     "\n",
     "# Search for a query and save the results\n",
     "docs = valyu_retriever.invoke(\"What are the benefits of renewable energy?\")\n",
@@ -84,9 +91,10 @@
     "    query=\"What are agentic search-enhanced large reasoning models?\",\n",
     "    search_type=\"all\",\n",
     "    max_num_results=5,\n",
-    "    similarity_threshold=0.4,\n",
+    "    relevance_threshold=0.5,\n",
-    "    query_rewrite=False,\n",
     "    max_price=20.0,\n",
+    "    start_date=\"2024-01-01\",\n",
+    "    end_date=\"2024-12-31\",\n",
     ")\n",
     "\n",
     "print(\"Search Results:\", search_results)"

docs/docs/integrations/retrievers/valyu.ipynb

@@ -8,9 +8,9 @@
     "\n",
     ">[Valyu](https://www.valyu.network/) allows AI applications and agents to search the internet and proprietary data sources for relevant LLM ready information.\n",
     "\n",
-    "This notebook goes over how to use Valyu context tool in LangChain.\n",
+    "This notebook goes over how to use Valyu deep search tool in LangChain.\n",
     "\n",
-    "First, get an Valyu API key and add it as an environment variable. Get $10 free credit  by [signing up here](https://exchange.valyu.network/).\n",
+    "First, get an Valyu API key and add it as an environment variable. Get $10 free credit  by [signing up here](https://platform.valyu.network/).\n",
     "\n",
     "## Setup\n",
     "\n",
@@ -57,22 +57,25 @@
     "  The number of top results to return for each query.\n",
     "\n",
     "- `search_type: str = \"all\"`  \n",
-    "  The type of search to perform. Options may include \"all\", \"web\", \"proprietary\", etc., depending on your use case.\n",
+    "  The type of search to perform: 'all', 'proprietary', or 'web'. Defaults to 'all'.\n",
     "\n",
-    "- `similarity_threshold: float = 0.4`  \n",
+    "- `relevance_threshold: float = 0.5`  \n",
-    "  The minimum similarity score (between 0 and 1) required for a document to be considered relevant.\n",
+    "  The minimum relevance score (between 0 and 1) required for a document to be considered relevant. Defaults to 0.5.\n",
-    "\n",
-    "- `query_rewrite: bool = False`  \n",
-    "  Whether to enable automatic rewriting of the query to improve search results.\n",
     "  \n",
     "- `max_price: float = 20.0`\n",
-    "  The maximum price (in USD) you are willing to spend per query.\n",
+    "  The maximum price (in USD) you are willing to spend per query. Defaults to 20.0.\n",
+    "\n",
+    "- `start_date: Optional[str] = None`\n",
+    "  Start date for time filtering in YYYY-MM-DD format (optional).\n",
+    "\n",
+    "- `end_date: Optional[str] = None`\n",
+    "  End date for time filtering in YYYY-MM-DD format (optional).\n",
     "\n",
     "- `client: Optional[Valyu] = None`  \n",
     "  An optional custom Valyu client instance. If not provided, a new client will be created internally.\n",
     "  \n",
     "- `valyu_api_key: Optional[str] = None`  \n",
-    "  Your Valyu API key. If not provided, the retriever will look for the `VALYU_API_KEY` environment variable.\n"
+    "  Your Valyu API key. If not provided, the retriever will look for the `VALYU_API_KEY` environment variable."
    ]
   },
   {
@@ -81,14 +84,15 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain_valyu import ValyuContextRetriever\n",
+    "from langchain_valyu import ValyuRetriever\n",
     "\n",
-    "retriever = ValyuContextRetriever(\n",
+    "retriever = ValyuRetriever(\n",
     "    k=5,\n",
     "    search_type=\"all\",\n",
-    "    similarity_threshold=0.4,\n",
+    "    relevance_threshold=0.5,\n",
-    "    query_rewrite=False,\n",
     "    max_price=20.0,\n",
+    "    start_date=\"2024-01-01\",\n",
+    "    end_date=\"2024-12-31\",\n",
     "    client=None,\n",
     "    valyu_api_key=os.environ[\"VALYU_API_KEY\"],\n",
     ")"

docs/docs/integrations/tools/valyu_search.ipynb

@@ -10,7 +10,7 @@
     "\n",
     "This notebook goes over how to use Valyu context tool in LangChain.\n",
     "\n",
-    "First, get an Valyu API key and add it as an environment variable. Get $10 free credit  by [signing up here](https://exchange.valyu.network/).\n",
+    "First, get an Valyu API key and add it as an environment variable. Get $10 free credit  by [signing up here](https://platform.valyu.network/).\n",
     "\n",
     "## Overview\n",
     "\n",