RAG Query
curl --request POST \
--url https://api.intelligence.io.solutions/api/r2r/v3/retrieval/rag \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"query": "<string>",
"search_mode": "custom",
"search_settings": {
"use_hybrid_search": false,
"use_semantic_search": true,
"use_fulltext_search": false,
"filters": "<string>",
"limit": 10,
"offset": "0",
"include_metadatas": true,
"include_scores": true,
"search_strategy": "vanilla",
"hybrid_settings": {
"full_text_weight": 1,
"semantic_weight": 5,
"full_text_limit": 200,
"rrf_k": 50
},
"chunk_settings": {
"probes": 10,
"ef_search": 40,
"enabled": true
},
"graph_settings": {
"limits": "<array>",
"enabled": true
},
"num_sub_queries": 5
},
"rag_generation_config": {
"model": "<string>",
"temperature": 123,
"top_p": 123,
"max_tokens_to_sample": 123,
"stream": true,
"functions": "<array>",
"tools": "<array>",
"add_generation_kwargs": "<array>",
"api_base": "<string>",
"response_format": [
{
"Base Model": {}
}
],
"extended_thinking": false,
"thinking_budget": 123,
"reasoning_effort": "<string>"
},
"task_prompt": "<string>",
"include_title_if_available": false,
"include_web_search": false
}
'import requests
url = "https://api.intelligence.io.solutions/api/r2r/v3/retrieval/rag"
payload = {
"query": "<string>",
"search_mode": "custom",
"search_settings": {
"use_hybrid_search": False,
"use_semantic_search": True,
"use_fulltext_search": False,
"filters": "<string>",
"limit": 10,
"offset": "0",
"include_metadatas": True,
"include_scores": True,
"search_strategy": "vanilla",
"hybrid_settings": {
"full_text_weight": 1,
"semantic_weight": 5,
"full_text_limit": 200,
"rrf_k": 50
},
"chunk_settings": {
"probes": 10,
"ef_search": 40,
"enabled": True
},
"graph_settings": {
"limits": "<array>",
"enabled": True
},
"num_sub_queries": 5
},
"rag_generation_config": {
"model": "<string>",
"temperature": 123,
"top_p": 123,
"max_tokens_to_sample": 123,
"stream": True,
"functions": "<array>",
"tools": "<array>",
"add_generation_kwargs": "<array>",
"api_base": "<string>",
"response_format": [{ "Base Model": {} }],
"extended_thinking": False,
"thinking_budget": 123,
"reasoning_effort": "<string>"
},
"task_prompt": "<string>",
"include_title_if_available": False,
"include_web_search": False
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
query: '<string>',
search_mode: 'custom',
search_settings: {
use_hybrid_search: false,
use_semantic_search: true,
use_fulltext_search: false,
filters: '<string>',
limit: 10,
offset: '0',
include_metadatas: true,
include_scores: true,
search_strategy: 'vanilla',
hybrid_settings: {full_text_weight: 1, semantic_weight: 5, full_text_limit: 200, rrf_k: 50},
chunk_settings: {probes: 10, ef_search: 40, enabled: true},
graph_settings: {limits: '<array>', enabled: true},
num_sub_queries: 5
},
rag_generation_config: {
model: '<string>',
temperature: 123,
top_p: 123,
max_tokens_to_sample: 123,
stream: true,
functions: '<array>',
tools: '<array>',
add_generation_kwargs: '<array>',
api_base: '<string>',
response_format: [{'Base Model': {}}],
extended_thinking: false,
thinking_budget: 123,
reasoning_effort: '<string>'
},
task_prompt: '<string>',
include_title_if_available: false,
include_web_search: false
})
};
fetch('https://api.intelligence.io.solutions/api/r2r/v3/retrieval/rag', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.intelligence.io.solutions/api/r2r/v3/retrieval/rag",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'query' => '<string>',
'search_mode' => 'custom',
'search_settings' => [
'use_hybrid_search' => false,
'use_semantic_search' => true,
'use_fulltext_search' => false,
'filters' => '<string>',
'limit' => 10,
'offset' => '0',
'include_metadatas' => true,
'include_scores' => true,
'search_strategy' => 'vanilla',
'hybrid_settings' => [
'full_text_weight' => 1,
'semantic_weight' => 5,
'full_text_limit' => 200,
'rrf_k' => 50
],
'chunk_settings' => [
'probes' => 10,
'ef_search' => 40,
'enabled' => true
],
'graph_settings' => [
'limits' => '<array>',
'enabled' => true
],
'num_sub_queries' => 5
],
'rag_generation_config' => [
'model' => '<string>',
'temperature' => 123,
'top_p' => 123,
'max_tokens_to_sample' => 123,
'stream' => true,
'functions' => '<array>',
'tools' => '<array>',
'add_generation_kwargs' => '<array>',
'api_base' => '<string>',
'response_format' => [
[
'Base Model' => [
]
]
],
'extended_thinking' => false,
'thinking_budget' => 123,
'reasoning_effort' => '<string>'
],
'task_prompt' => '<string>',
'include_title_if_available' => false,
'include_web_search' => false
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.intelligence.io.solutions/api/r2r/v3/retrieval/rag"
payload := strings.NewReader("{\n \"query\": \"<string>\",\n \"search_mode\": \"custom\",\n \"search_settings\": {\n \"use_hybrid_search\": false,\n \"use_semantic_search\": true,\n \"use_fulltext_search\": false,\n \"filters\": \"<string>\",\n \"limit\": 10,\n \"offset\": \"0\",\n \"include_metadatas\": true,\n \"include_scores\": true,\n \"search_strategy\": \"vanilla\",\n \"hybrid_settings\": {\n \"full_text_weight\": 1,\n \"semantic_weight\": 5,\n \"full_text_limit\": 200,\n \"rrf_k\": 50\n },\n \"chunk_settings\": {\n \"probes\": 10,\n \"ef_search\": 40,\n \"enabled\": true\n },\n \"graph_settings\": {\n \"limits\": \"<array>\",\n \"enabled\": true\n },\n \"num_sub_queries\": 5\n },\n \"rag_generation_config\": {\n \"model\": \"<string>\",\n \"temperature\": 123,\n \"top_p\": 123,\n \"max_tokens_to_sample\": 123,\n \"stream\": true,\n \"functions\": \"<array>\",\n \"tools\": \"<array>\",\n \"add_generation_kwargs\": \"<array>\",\n \"api_base\": \"<string>\",\n \"response_format\": [\n {\n \"Base Model\": {}\n }\n ],\n \"extended_thinking\": false,\n \"thinking_budget\": 123,\n \"reasoning_effort\": \"<string>\"\n },\n \"task_prompt\": \"<string>\",\n \"include_title_if_available\": false,\n \"include_web_search\": false\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.intelligence.io.solutions/api/r2r/v3/retrieval/rag")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"query\": \"<string>\",\n \"search_mode\": \"custom\",\n \"search_settings\": {\n \"use_hybrid_search\": false,\n \"use_semantic_search\": true,\n \"use_fulltext_search\": false,\n \"filters\": \"<string>\",\n \"limit\": 10,\n \"offset\": \"0\",\n \"include_metadatas\": true,\n \"include_scores\": true,\n \"search_strategy\": \"vanilla\",\n \"hybrid_settings\": {\n \"full_text_weight\": 1,\n \"semantic_weight\": 5,\n \"full_text_limit\": 200,\n \"rrf_k\": 50\n },\n \"chunk_settings\": {\n \"probes\": 10,\n \"ef_search\": 40,\n \"enabled\": true\n },\n \"graph_settings\": {\n \"limits\": \"<array>\",\n \"enabled\": true\n },\n \"num_sub_queries\": 5\n },\n \"rag_generation_config\": {\n \"model\": \"<string>\",\n \"temperature\": 123,\n \"top_p\": 123,\n \"max_tokens_to_sample\": 123,\n \"stream\": true,\n \"functions\": \"<array>\",\n \"tools\": \"<array>\",\n \"add_generation_kwargs\": \"<array>\",\n \"api_base\": \"<string>\",\n \"response_format\": [\n {\n \"Base Model\": {}\n }\n ],\n \"extended_thinking\": false,\n \"thinking_budget\": 123,\n \"reasoning_effort\": \"<string>\"\n },\n \"task_prompt\": \"<string>\",\n \"include_title_if_available\": false,\n \"include_web_search\": false\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.intelligence.io.solutions/api/r2r/v3/retrieval/rag")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"query\": \"<string>\",\n \"search_mode\": \"custom\",\n \"search_settings\": {\n \"use_hybrid_search\": false,\n \"use_semantic_search\": true,\n \"use_fulltext_search\": false,\n \"filters\": \"<string>\",\n \"limit\": 10,\n \"offset\": \"0\",\n \"include_metadatas\": true,\n \"include_scores\": true,\n \"search_strategy\": \"vanilla\",\n \"hybrid_settings\": {\n \"full_text_weight\": 1,\n \"semantic_weight\": 5,\n \"full_text_limit\": 200,\n \"rrf_k\": 50\n },\n \"chunk_settings\": {\n \"probes\": 10,\n \"ef_search\": 40,\n \"enabled\": true\n },\n \"graph_settings\": {\n \"limits\": \"<array>\",\n \"enabled\": true\n },\n \"num_sub_queries\": 5\n },\n \"rag_generation_config\": {\n \"model\": \"<string>\",\n \"temperature\": 123,\n \"top_p\": 123,\n \"max_tokens_to_sample\": 123,\n \"stream\": true,\n \"functions\": \"<array>\",\n \"tools\": \"<array>\",\n \"add_generation_kwargs\": \"<array>\",\n \"api_base\": \"<string>\",\n \"response_format\": [\n {\n \"Base Model\": {}\n }\n ],\n \"extended_thinking\": false,\n \"thinking_budget\": 123,\n \"reasoning_effort\": \"<string>\"\n },\n \"task_prompt\": \"<string>\",\n \"include_title_if_available\": false,\n \"include_web_search\": false\n}"
response = http.request(request)
puts response.read_body{
"key": "value"
}{}Retrieval
RAG Query
Execute a RAG (Retrieval-Augmented Generation) query.
POST
/
api
/
r2r
/
v3
/
retrieval
/
rag
RAG Query
curl --request POST \
--url https://api.intelligence.io.solutions/api/r2r/v3/retrieval/rag \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"query": "<string>",
"search_mode": "custom",
"search_settings": {
"use_hybrid_search": false,
"use_semantic_search": true,
"use_fulltext_search": false,
"filters": "<string>",
"limit": 10,
"offset": "0",
"include_metadatas": true,
"include_scores": true,
"search_strategy": "vanilla",
"hybrid_settings": {
"full_text_weight": 1,
"semantic_weight": 5,
"full_text_limit": 200,
"rrf_k": 50
},
"chunk_settings": {
"probes": 10,
"ef_search": 40,
"enabled": true
},
"graph_settings": {
"limits": "<array>",
"enabled": true
},
"num_sub_queries": 5
},
"rag_generation_config": {
"model": "<string>",
"temperature": 123,
"top_p": 123,
"max_tokens_to_sample": 123,
"stream": true,
"functions": "<array>",
"tools": "<array>",
"add_generation_kwargs": "<array>",
"api_base": "<string>",
"response_format": [
{
"Base Model": {}
}
],
"extended_thinking": false,
"thinking_budget": 123,
"reasoning_effort": "<string>"
},
"task_prompt": "<string>",
"include_title_if_available": false,
"include_web_search": false
}
'import requests
url = "https://api.intelligence.io.solutions/api/r2r/v3/retrieval/rag"
payload = {
"query": "<string>",
"search_mode": "custom",
"search_settings": {
"use_hybrid_search": False,
"use_semantic_search": True,
"use_fulltext_search": False,
"filters": "<string>",
"limit": 10,
"offset": "0",
"include_metadatas": True,
"include_scores": True,
"search_strategy": "vanilla",
"hybrid_settings": {
"full_text_weight": 1,
"semantic_weight": 5,
"full_text_limit": 200,
"rrf_k": 50
},
"chunk_settings": {
"probes": 10,
"ef_search": 40,
"enabled": True
},
"graph_settings": {
"limits": "<array>",
"enabled": True
},
"num_sub_queries": 5
},
"rag_generation_config": {
"model": "<string>",
"temperature": 123,
"top_p": 123,
"max_tokens_to_sample": 123,
"stream": True,
"functions": "<array>",
"tools": "<array>",
"add_generation_kwargs": "<array>",
"api_base": "<string>",
"response_format": [{ "Base Model": {} }],
"extended_thinking": False,
"thinking_budget": 123,
"reasoning_effort": "<string>"
},
"task_prompt": "<string>",
"include_title_if_available": False,
"include_web_search": False
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
query: '<string>',
search_mode: 'custom',
search_settings: {
use_hybrid_search: false,
use_semantic_search: true,
use_fulltext_search: false,
filters: '<string>',
limit: 10,
offset: '0',
include_metadatas: true,
include_scores: true,
search_strategy: 'vanilla',
hybrid_settings: {full_text_weight: 1, semantic_weight: 5, full_text_limit: 200, rrf_k: 50},
chunk_settings: {probes: 10, ef_search: 40, enabled: true},
graph_settings: {limits: '<array>', enabled: true},
num_sub_queries: 5
},
rag_generation_config: {
model: '<string>',
temperature: 123,
top_p: 123,
max_tokens_to_sample: 123,
stream: true,
functions: '<array>',
tools: '<array>',
add_generation_kwargs: '<array>',
api_base: '<string>',
response_format: [{'Base Model': {}}],
extended_thinking: false,
thinking_budget: 123,
reasoning_effort: '<string>'
},
task_prompt: '<string>',
include_title_if_available: false,
include_web_search: false
})
};
fetch('https://api.intelligence.io.solutions/api/r2r/v3/retrieval/rag', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.intelligence.io.solutions/api/r2r/v3/retrieval/rag",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'query' => '<string>',
'search_mode' => 'custom',
'search_settings' => [
'use_hybrid_search' => false,
'use_semantic_search' => true,
'use_fulltext_search' => false,
'filters' => '<string>',
'limit' => 10,
'offset' => '0',
'include_metadatas' => true,
'include_scores' => true,
'search_strategy' => 'vanilla',
'hybrid_settings' => [
'full_text_weight' => 1,
'semantic_weight' => 5,
'full_text_limit' => 200,
'rrf_k' => 50
],
'chunk_settings' => [
'probes' => 10,
'ef_search' => 40,
'enabled' => true
],
'graph_settings' => [
'limits' => '<array>',
'enabled' => true
],
'num_sub_queries' => 5
],
'rag_generation_config' => [
'model' => '<string>',
'temperature' => 123,
'top_p' => 123,
'max_tokens_to_sample' => 123,
'stream' => true,
'functions' => '<array>',
'tools' => '<array>',
'add_generation_kwargs' => '<array>',
'api_base' => '<string>',
'response_format' => [
[
'Base Model' => [
]
]
],
'extended_thinking' => false,
'thinking_budget' => 123,
'reasoning_effort' => '<string>'
],
'task_prompt' => '<string>',
'include_title_if_available' => false,
'include_web_search' => false
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.intelligence.io.solutions/api/r2r/v3/retrieval/rag"
payload := strings.NewReader("{\n \"query\": \"<string>\",\n \"search_mode\": \"custom\",\n \"search_settings\": {\n \"use_hybrid_search\": false,\n \"use_semantic_search\": true,\n \"use_fulltext_search\": false,\n \"filters\": \"<string>\",\n \"limit\": 10,\n \"offset\": \"0\",\n \"include_metadatas\": true,\n \"include_scores\": true,\n \"search_strategy\": \"vanilla\",\n \"hybrid_settings\": {\n \"full_text_weight\": 1,\n \"semantic_weight\": 5,\n \"full_text_limit\": 200,\n \"rrf_k\": 50\n },\n \"chunk_settings\": {\n \"probes\": 10,\n \"ef_search\": 40,\n \"enabled\": true\n },\n \"graph_settings\": {\n \"limits\": \"<array>\",\n \"enabled\": true\n },\n \"num_sub_queries\": 5\n },\n \"rag_generation_config\": {\n \"model\": \"<string>\",\n \"temperature\": 123,\n \"top_p\": 123,\n \"max_tokens_to_sample\": 123,\n \"stream\": true,\n \"functions\": \"<array>\",\n \"tools\": \"<array>\",\n \"add_generation_kwargs\": \"<array>\",\n \"api_base\": \"<string>\",\n \"response_format\": [\n {\n \"Base Model\": {}\n }\n ],\n \"extended_thinking\": false,\n \"thinking_budget\": 123,\n \"reasoning_effort\": \"<string>\"\n },\n \"task_prompt\": \"<string>\",\n \"include_title_if_available\": false,\n \"include_web_search\": false\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.intelligence.io.solutions/api/r2r/v3/retrieval/rag")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"query\": \"<string>\",\n \"search_mode\": \"custom\",\n \"search_settings\": {\n \"use_hybrid_search\": false,\n \"use_semantic_search\": true,\n \"use_fulltext_search\": false,\n \"filters\": \"<string>\",\n \"limit\": 10,\n \"offset\": \"0\",\n \"include_metadatas\": true,\n \"include_scores\": true,\n \"search_strategy\": \"vanilla\",\n \"hybrid_settings\": {\n \"full_text_weight\": 1,\n \"semantic_weight\": 5,\n \"full_text_limit\": 200,\n \"rrf_k\": 50\n },\n \"chunk_settings\": {\n \"probes\": 10,\n \"ef_search\": 40,\n \"enabled\": true\n },\n \"graph_settings\": {\n \"limits\": \"<array>\",\n \"enabled\": true\n },\n \"num_sub_queries\": 5\n },\n \"rag_generation_config\": {\n \"model\": \"<string>\",\n \"temperature\": 123,\n \"top_p\": 123,\n \"max_tokens_to_sample\": 123,\n \"stream\": true,\n \"functions\": \"<array>\",\n \"tools\": \"<array>\",\n \"add_generation_kwargs\": \"<array>\",\n \"api_base\": \"<string>\",\n \"response_format\": [\n {\n \"Base Model\": {}\n }\n ],\n \"extended_thinking\": false,\n \"thinking_budget\": 123,\n \"reasoning_effort\": \"<string>\"\n },\n \"task_prompt\": \"<string>\",\n \"include_title_if_available\": false,\n \"include_web_search\": false\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.intelligence.io.solutions/api/r2r/v3/retrieval/rag")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"query\": \"<string>\",\n \"search_mode\": \"custom\",\n \"search_settings\": {\n \"use_hybrid_search\": false,\n \"use_semantic_search\": true,\n \"use_fulltext_search\": false,\n \"filters\": \"<string>\",\n \"limit\": 10,\n \"offset\": \"0\",\n \"include_metadatas\": true,\n \"include_scores\": true,\n \"search_strategy\": \"vanilla\",\n \"hybrid_settings\": {\n \"full_text_weight\": 1,\n \"semantic_weight\": 5,\n \"full_text_limit\": 200,\n \"rrf_k\": 50\n },\n \"chunk_settings\": {\n \"probes\": 10,\n \"ef_search\": 40,\n \"enabled\": true\n },\n \"graph_settings\": {\n \"limits\": \"<array>\",\n \"enabled\": true\n },\n \"num_sub_queries\": 5\n },\n \"rag_generation_config\": {\n \"model\": \"<string>\",\n \"temperature\": 123,\n \"top_p\": 123,\n \"max_tokens_to_sample\": 123,\n \"stream\": true,\n \"functions\": \"<array>\",\n \"tools\": \"<array>\",\n \"add_generation_kwargs\": \"<array>\",\n \"api_base\": \"<string>\",\n \"response_format\": [\n {\n \"Base Model\": {}\n }\n ],\n \"extended_thinking\": false,\n \"thinking_budget\": 123,\n \"reasoning_effort\": \"<string>\"\n },\n \"task_prompt\": \"<string>\",\n \"include_title_if_available\": false,\n \"include_web_search\": false\n}"
response = http.request(request)
puts response.read_body{
"key": "value"
}{}Authorizations
The access token received from the authorization server in the OAuth 2.0 flow.
Body
application/json
The user's question
Default value of custom allows full control over search settings. Pre-configured search modes: basic: A simple semantic-based search. advanced: A more powerful hybrid search combining semantic and full-text. custom: Full control via search_settings. If filters or limit are provided alongside basic or advanced, they will override the default settings for that mode.
Available options:
basic, advanced, custom The search configuration object. If search_mode is custom, these settings are used as-is. For basic or advanced, these settings will override the default mode configuration. Common overrides include filters to narrow results and limit to control how many results are returned.
Show child attributes
Show child attributes
Configuration for RAG generation
Show child attributes
Show child attributes
Optional custom prompt to override default
Include document titles in responses when available
Include web search results provided to the LLM.
Response
200
Example:
"value"