Tech Stack: ◆ AI at Meta's Llama 3.1 8B for the LLM ◆ Together AI's inference (AI API) ◆ Next.js w/ tailwind & typescript ◆ Serper API for the search API ◆ Helicone for AI observability ◆ Plausible Analytics for analytics

The GitHub repo is here! It's built with: ◆ AI at Meta's Llama 3.1 8B for the LLM ◆ Together AI's inference (AI API) ◆ Next.js w/ tailwind & typescript ◆ Serper API for the search API ◆ Helicone for AI observability github.com/Nutlope/llamat…

OpenPlexity Pages # OpenPlexity Page vs Perplexity Pages # OpenPlexity Page 是 Perplexity Pages 的开源替代项目， 旨在将研究转化为视觉上吸引人、全面的页面内容。 # 与众不同的地方 # > 开源：与 Perplexity Pages 不同，OpenPlexity Pages 是完全开源的，允许社区贡献和定制化。 >

ollama + llama3 + Serper API = perplexity search + RAG (embedding). #letsbuildtogether

Excited to announce the open-source release of openperplex.com, AI-powered search engine! Tech stack: Inference: Groq Inc Content chunking: cohere + semantic-chunkers LLM: Meta LLama 3 70B Reranking: Jina AI Search: @Serperapi Backend: FastAPI Frontend: Vue

Serper API just posted this video how to do chat driven development. Your API is amazing! Feel free to share anywhere :). youtube.com/watch?v=HhJSqF… #chatdrivendesign #cdd #serper

1/6 🎉 Excited to announce AIPE: AI Pipeline Engine! 🚀 AIPE is a powerful tool for creating and executing complex AI workflows with LangChain. Chain together web searching using Serper API, text generation using ollama, speech processing, and image generation into a

Been playing with the idea of making a purely LLM agent-powered code transpiler using LangChain and Langgraph 🌟 Currently it: - Generates technical summary of input code - Generates a step-by-step plan on how to transpile - Generates questions over unclear parts of the code

CrewAI Train: How I Trained AI Agents to Automate my Work? 🛠️ Creating AI Agents 🔧 Setting Up Latest CrewAI 📊 Testing AI Agents 🧠 Creating Research Agents Serper API Sub: youtube.com/@MervinPraison CrewAI João Moura Matthew Berman RT Please

added functionality so our slack AI coworker/list builder can find contact details for a list of conference attendees - just give it names/companies & it works! took original AI SDR template from Replit ⠕, now we've also added People Data Labs & Serper API so we can find linkedin

My favorite 2025 tech stack for building AI apps: ◆ Framework: Next.js ◆ Database: Neon - Serverless Postgres + Prisma — ORM. And Postgres too. ◆ AI API: Together AI ◆ Search API: Serper API ◆ Language: TypeScript ◆ Hosting: Vercel ◆ Styling: Tailwind CSS ◆ UI library: shadcn ◆ Auth: Clerk ◆

🚀Beta Release: rSearch*: The AI-Powered Reasoning Engine Your ultimate research assistant, combining CoT reasoning from DeepSeek's R1 and blazing fast search results via Serper API 🧵 Follow this thread to explore more

Today I am open sourcing my LLM API Engine How it works: 1. Describe your API in plain text 2. Generate the schema with OpenAI Structured outputs 3. Configure sources from @SerperApi 4. /extract data with @Firecrawl_dev 🔥 5. Store the data @Upstash 6. Deploy a live endpoint

Give me the best API's to hook up to AI agents. I want stuff that's frictionless to get an API key for, like Serper for Google Search.

🔍 Serper API Search: Your AI-Powered Research Assistant This powerful MCP plugin for Cline transforms how developers interact with web searches. Here's what it can do: 💡 Smart Search & Knowledge Graphs - Ask naturally: "Show me 2025 electric car market trends" - Get

Context switching between coding and research breaks flow. If you're a developer, this might look like opening the browser, google searching, read docs, forget what you were doing, and repeat. Cline leverages the Serper API Search MCP Server to do contextual deep research during

Lucy (1.7B): A Qwen3-based agentic web search model trained purely with RL (no SFT). Optimized for mobile and CPU-only use. - Agentic search via Serper (Google) + Crawl4AI - Machine-generated task vectors guide reasoning - Outperforms DeepSeek-v3 on SimpleQA (MCP benchmark) -

Mario Moschetta Alan Dao Casper Hansen will brown To implement a search-enabled AI like Lucy in a Swift iOS app: 1. Use MLKit or llama.cpp via Swift package to run the Qwen3-1.7B model locally. 2. Integrate search via APIs (e.g., Google Custom Search or Serper.dev) in your agent loop. 3. Handle tools: Call

Introducing Jan-v1: 4B model for web search, an open-source alternative to Perplexity Pro. In our evals, Jan v1 delivers 91% SimpleQA accuracy, slightly outperforming Perplexity Pro while running fully locally. Use cases: - Web search - Deep Research Built on the new version