mirror of
https://github.com/ItzCrazyKns/Perplexica.git
synced 2025-04-30 08:12:26 +00:00
add brave as a search engine
This commit is contained in:
@ -2,7 +2,7 @@
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PORT = 3001 # Port to run the server on
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SIMILARITY_MEASURE = "cosine" # "cosine" or "dot"
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KEEP_ALIVE = "5m" # How long to keep Ollama models loaded into memory. (Instead of using -1 use "-1m")
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SEARCH_ENGINE_BACKEND = "google" # "google" | "searxng" | "ddg" | "bing" | "brave"
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SEARCH_ENGINE_BACKEND = "searxng" # "google" | "searxng" | "bing" | "brave"
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[MODELS.OPENAI]
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API_KEY = ""
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@ -9,6 +9,7 @@ import { BaseMessage } from '@langchain/core/messages';
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import { StringOutputParser } from '@langchain/core/output_parsers';
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import { searchSearxng } from '../lib/searchEngines/searxng';
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import { searchGooglePSE } from '../lib/searchEngines/google_pse';
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import { searchBraveAPI } from '../lib/searchEngines/brave';
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import { getSearchEngineBackend } from '../config';
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import type { BaseChatModel } from '@langchain/core/language_models/chat_models';
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@ -46,16 +47,15 @@ async function performImageSearch(query: string) {
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case 'google': {
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const googleResult = await searchGooglePSE(query);
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images = googleResult.results.map((result) => {
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if (result.img_src && result.url && result.title) {
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return {
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img_src: result.img_src,
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url: result.url,
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title: result.title,
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source: result.displayLink
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};
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}
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})
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.filter(Boolean);
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if (result.img_src && result.url && result.title) {
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return {
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img_src: result.img_src,
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url: result.url,
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title: result.title,
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source: result.displayLink
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};
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}
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}).filter(Boolean);
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break;
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}
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@ -76,6 +76,21 @@ async function performImageSearch(query: string) {
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break;
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}
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case 'brave': {
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const braveResult = await searchBraveAPI(query);
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images = braveResult.results.map((result) => {
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if (result.img_src && result.url && result.title) {
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return {
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img_src: result.img_src,
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url: result.url,
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title: result.title,
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source: result.url
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};
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}
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}).filter(Boolean);
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break;
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}
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default:
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throw new Error(`Unknown search engine ${searchEngine}`);
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}
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@ -9,26 +9,27 @@ import { BaseMessage } from '@langchain/core/messages';
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import { StringOutputParser } from '@langchain/core/output_parsers';
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import { searchSearxng } from '../lib/searchEngines/searxng';
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import { searchGooglePSE } from '../lib/searchEngines/google_pse';
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import { searchBraveAPI } from '../lib/searchEngines/brave';
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import { getSearchEngineBackend } from '../config';
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import type { BaseChatModel } from '@langchain/core/language_models/chat_models';
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const VideoSearchChainPrompt = `
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You will be given a conversation below and a follow up question. You need to rephrase the follow-up question so it is a standalone question that can be used by the LLM to search Youtube for videos.
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You need to make sure the rephrased question agrees with the conversation and is relevant to the conversation.
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Example:
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1. Follow up question: How does a car work?
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Rephrased: How does a car work?
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2. Follow up question: What is the theory of relativity?
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Rephrased: What is theory of relativity
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3. Follow up question: How does an AC work?
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Rephrased: How does an AC work
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Conversation:
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{chat_history}
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Follow up question: {query}
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Rephrased question:
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`;
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@ -84,6 +85,22 @@ async function performVideoSearch(query: string) {
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break;
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}
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case 'brave': {
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const braveResult = await searchBraveAPI(youtubeQuery);
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braveResult.results.forEach((result) => {
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if (result.img_src && result.url && result.title) {
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const videoId = new URL(result.url).searchParams.get('v');
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videos.push({
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img_src: result.img_src,
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url: result.url,
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title: result.title,
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iframe_src: videoId ? `https://www.youtube.com/embed/${videoId}` : null
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});
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}
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});
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break;
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}
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default:
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throw new Error(`Unknown search engine ${searchEngine}`);
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}
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116
src/lib/searchEngines/bing.ts
Normal file
116
src/lib/searchEngines/bing.ts
Normal file
@ -0,0 +1,116 @@
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import axios from 'axios';
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import { getBingSubscriptionKey } from '../../config';
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interface BingAPISearchResult {
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_type: string;
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name: string;
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url: string;
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displayUrl: string;
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snippet?: string;
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dateLastCrawled?: string;
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thumbnailUrl?: string;
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contentUrl?: string;
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hostPageUrl?: string;
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width?: number;
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height?: number;
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accentColor?: string;
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contentSize?: string;
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datePublished?: string;
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encodingFormat?: string;
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hostPageDisplayUrl?: string;
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id?: string;
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isLicensed?: boolean;
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isFamilyFriendly?: boolean;
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language?: string;
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mediaUrl?: string;
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motionThumbnailUrl?: string;
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publisher?: string;
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viewCount?: number;
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webSearchUrl?: string;
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primaryImageOfPage?: {
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thumbnailUrl?: string;
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width?: number;
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height?: number;
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};
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provider?: Array<{
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name: string;
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_type: string;
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}>;
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video?: {
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allowHttpsEmbed?: boolean;
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embedHtml?: string;
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allowMobileEmbed?: boolean;
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viewCount?: number;
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};
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image?: {
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thumbnail?: {
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contentUrl?: string;
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width?: number;
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height?: number;
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};
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imageInsightsToken?: string;
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imageId?: string;
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};
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metatags?: Array<{
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[key: string]: string;
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'og:type'?: string;
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'og:image'?: string;
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'og:video'?: string;
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}>;
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mentions?: Array<{
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name: string;
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}>;
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entity?: {
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entityPresentationInfo?: {
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entityTypeHints?: string[];
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};
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};
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}
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export const searchBingAPI = async (query: string) => {
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try {
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const bingApiKey = await getBingSubscriptionKey();
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const url = new URL(`https://api.cognitive.microsoft.com/bing/v7.0/search`);
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url.searchParams.append('q', query);
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url.searchParams.append('responseFilter', 'Webpages,Images,Videos,News');
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const res = await axios.get(url.toString(), {
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headers: {
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'Ocp-Apim-Subscription-Key': bingApiKey,
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'Accept': 'application/json'
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}
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});
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if (res.data.error) {
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throw new Error(`Bing API Error: ${res.data.error.message}`);
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}
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const originalres = res.data;
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const webResults = originalres.webPages?.value || [];
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const imageResults = originalres.images?.value || [];
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const videoResults = originalres.videos?.value || [];
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const results = webResults.map((item: any) => ({
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title: item.name,
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url: item.url,
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content: item.snippet,
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img_src: item.primaryImageOfPage?.thumbnailUrl
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|| imageResults.find((img: any) => img.hostPageUrl === item.url)?.thumbnailUrl
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|| videoResults.find((vid: any) => vid.hostPageUrl === item.url)?.thumbnailUrl,
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...(item.video && {
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videoData: {
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duration: item.video.duration,
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embedUrl: item.video.embedHtml?.match(/src="(.*?)"/)?.[1]
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}
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})
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}));
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return { results, originalres };
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} catch (error) {
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const errorMessage = error.response?.data
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? JSON.stringify(error.response.data, null, 2)
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: error.message || 'Unknown error';
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throw new Error(`Bing API Error: ${errorMessage}`);
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}
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};
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96
src/lib/searchEngines/brave.ts
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96
src/lib/searchEngines/brave.ts
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@ -0,0 +1,96 @@
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import axios from 'axios';
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import { getBraveApiKey } from '../../config';
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interface BraveSearchResult {
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title: string;
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url: string;
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content?: string;
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img_src?: string;
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age?: string;
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family_friendly?: boolean;
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language?: string;
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video?: {
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embedUrl?: string;
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duration?: string;
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};
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rating?: {
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value: number;
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scale: number;
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};
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products?: Array<{
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name: string;
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price?: string;
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}>;
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recipe?: {
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ingredients?: string[];
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cookTime?: string;
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};
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meta?: {
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fetched?: string;
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lastCrawled?: string;
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};
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}
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export const searchBraveAPI = async (
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query: string,
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numResults: number = 20
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): Promise<{ results: BraveSearchResult[]; originalres: any }> => {
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try {
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const braveApiKey = await getBraveApiKey();
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const url = new URL(`https://api.search.brave.com/res/v1/web/search`);
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url.searchParams.append('q', query);
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url.searchParams.append('count', numResults.toString());
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const res = await axios.get(url.toString(), {
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headers: {
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'X-Subscription-Token': braveApiKey,
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'Accept': 'application/json'
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}
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});
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if (res.data.error) {
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throw new Error(`Brave API Error: ${res.data.error.message}`);
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}
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const originalres = res.data;
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const webResults = originalres.web?.results || [];
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const results: BraveSearchResult[] = webResults.map((item: any) => ({
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title: item.title,
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url: item.url,
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content: item.description,
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img_src: item.thumbnail?.src || item.deep_results?.images?.[0]?.src,
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age: item.age,
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family_friendly: item.family_friendly,
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language: item.language,
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video: item.video ? {
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embedUrl: item.video.embed_url,
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duration: item.video.duration
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} : undefined,
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rating: item.rating ? {
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value: item.rating.value,
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scale: item.rating.scale_max
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} : undefined,
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products: item.deep_results?.product_cluster?.map((p: any) => ({
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name: p.name,
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price: p.price
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})),
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recipe: item.recipe ? {
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ingredients: item.recipe.ingredients,
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cookTime: item.recipe.cook_time
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} : undefined,
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meta: {
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fetched: item.meta?.fetched,
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lastCrawled: item.meta?.last_crawled
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}
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}));
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return { results, originalres };
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} catch (error) {
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const errorMessage = error.response?.data
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? JSON.stringify(error.response.data, null, 2)
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: error.message || 'Unknown error';
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throw new Error(`Brave API Error: ${errorMessage}`);
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}
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};
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@ -1,6 +1,7 @@
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import express from 'express';
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import { searchSearxng } from '../lib/searchEngines/searxng';
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import { searchGooglePSE } from '../lib/searchEngines/google_pse';
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import { searchBraveAPI } from '../lib/searchEngines/brave';
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import { getSearchEngineBackend } from '../config';
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import logger from '../utils/logger';
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@ -42,6 +43,20 @@ async function performSearch(query: string, site: string) {
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return searxResult.results;
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}
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case 'brave': {
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const braveResult = await searchBraveAPI(query);
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return braveResult.results.map(item => ({
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title: item.title,
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url: item.url,
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content: item.content,
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thumbnail: item.img_src,
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img_src: item.img_src,
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iframe_src: null,
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author: item.meta?.fetched || site,
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publishedDate: item.meta?.lastCrawled
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}));
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}
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default:
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throw new Error(`Unknown search engine ${searchEngine}`);
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}
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@ -19,6 +19,8 @@ import { getDocumentsFromLinks } from '../utils/documents';
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import { Document } from 'langchain/document';
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import { searchSearxng } from '../lib/searchEngines/searxng';
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import { searchGooglePSE } from '../lib/searchEngines/google_pse';
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import { searchBingAPI } from '../lib/searchEngines/bing';
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import { searchBraveAPI } from '../lib/searchEngines/brave';
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import { getSearchEngineBackend } from '../config';
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import path from 'path';
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import fs from 'fs';
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@ -134,7 +136,7 @@ class MetaSearchAgent implements MetaSearchAgentType {
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You are a web search summarizer, tasked with summarizing a piece of text retrieved from a web search. Your job is to summarize the
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text into a detailed, 2-4 paragraph explanation that captures the main ideas and provides a comprehensive answer to the query.
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If the query is \"summarize\", you should provide a detailed summary of the text. If the query is a specific question, you should answer it in the summary.
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- **Journalistic tone**: The summary should sound professional and journalistic, not too casual or vague.
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- **Thorough and detailed**: Ensure that every key point from the text is captured and that the summary directly answers the query.
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- **Not too lengthy, but detailed**: The summary should be informative but not excessively long. Focus on providing detailed information in a concise format.
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@ -219,6 +221,12 @@ class MetaSearchAgent implements MetaSearchAgentType {
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case 'google':
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res = await searchGooglePSE(question);
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break;
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case 'bing':
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res = await searchBingAPI(question);
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break;
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case 'brave':
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res = await searchBraveAPI(question);
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break;
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default:
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throw new Error(`Unknown search engine ${searchEngine}`);
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}
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Reference in New Issue
Block a user