Langchain işler

...rehberlik (kurulum, API key yönetimi, güvenlik ayarları) İşleyiş İş sürecinde birlikte çalışacağız; ben sistemin kavramsal modelini vereceğim, freelancer bunu teknik çözüme dönüştürecek. Gerektiğinde örnek kod, yapılandırma dosyaları veya dokümantasyon paylaşılacak. Tüm işler sipariş kapsamında yapılacak; ücretsiz demo/ön çalışma talebim yoktur. Aranan Profil Yapay zeka entegrasyonu (OpenAI, LangChain vb.) konusunda deneyimli Supabase, vektör veritabanı ve otomasyon (n8n) hakkında bilgi sahibi API entegrasyonu ve güvenlik konusunda uzman Adım adım rehberlik yapabilecek, işbirliği odaklı freelancer Çıktılar Çalışır durumda bir Proof of Concept (PoC) Temel siste...

Frimono, kişisel harcama davranışlarını analiz...önerilerle koçluk yapan bir yapay zeka modülü içeriyor. Şu anda ürünümüzü teknik olarak hayata geçirecek güçlü bir partner arıyoruz. Tercih Edilen Teknolojiler • Frontend: Flutter, React Native veya Swift (mobil ağırlıklı MVP) • Backend: Node.js / Python (FastAPI) • Database: PostgreSQL, Firebase • 3rd Party API: Plaid, Salt Edge, TrueLayer gibi açık bankacılık API deneyimi • Opsiyonel: OpenAI, LangChain, Pinecone, Framer entegrasyonu bilgisi ⸻ Ne Sunuyoruz? • Özgün ve yatırım potansiyeli yüksek bir ürün • Teknik liderlik şansı (ileride CTO olma fırsatı) • Tercihe göre &o...

I want to turn my laptop into a hands-free, voice-activated companion that feels truly alive. The assistant should wake on a custom hot-word, listen continuously, and res...executes flawlessly without touch input. 3. ​If I greet it sounding upbeat versus downcast, its reply clearly changes tone while the transcript logs the detected state. 4. ​Knowledge retrieval must cite or link sources when asked “How do you know that?” 5. ​All data stays local unless I explicitly grant cloud sync. You may choose the underlying stack—Python, Node.js, Rust, Whisper, Rasa, LangChain, or any blend—so long as the deliverables run on Windows 11 and can be re-compiled or re-trained by me later. I’ll supply API keys and test scripts; you package the code, installer, ...

...developer to debug a production RAG pipeline that had quietly degraded after a dependency bump. The pipeline — built on LangChain, FastAPI, and Supabase pgvector — was still returning results, but retrieval quality had clearly dropped: wrong chunks, wrong document sections, irrelevant context making it into answers. The scope was well-defined: audit our chunking config, confirm embedding model consistency between ingestion and query time, check our pgvector distance/index setup, and run live test queries to surface exactly where retrieval was going wrong. He delivered on every point. The root cause turned out to be a silent embedding model mismatch introduced during a langchain-openai upgrade — something easy to miss and painful to debug without knowing ...

I’m building a production-grade backend that orchestrates multi-step LLM workflows and serves them through a FastAPI layer. The stack is Python first, so I need someone who is genuinely comfortable with advanced language features, clean architecture, and test-driven habits. Core scope • Design and implement LangGraph​/​LangChain pipelines that call both Claude and OpenAI models. • Shape a robust PostgreSQL schema from scratch and write the migration scripts to match. • Expose all functionality via FastAPI endpoints with proper async handling, input validation, and error management. • Handle PDF generation with ReportLab (or an equivalent you like) for final user-facing reports. Claude-specific responsibilities Prompt engineering Understand...

...through chat. 3. Symptom checker provides a ranked list of possible issues and a “seek care now” recommendation when severity warrants. 4. Role-based responses: patients see friendly guidance, providers receive concise clinical summaries. 5. All endpoints protected with token-based auth; PHI encrypted in transit and at rest. If you have experience with LLM frameworks (Rasa, Dialogflow CX, LangChain) and understand healthcare compliance, I would love to see examples of similar work in your proposal. A healthcare provider can use chat via an internal database. Technology must be .NET Core & Database SQL Server...

...and code a Retrieval-Augmented Generation pipeline that can
understand a question, pull the most relevant snippets from my curated algebra textbooks, formula sheets, and problem sets, then explain the answer step-by-step with rock-solid reasoning. Here is what success looks like from my side: • A working RAG stack (embeddings → vector database → LLM) wired together with modern tooling such as LangChain, LlamaIndex, or an approach you can justify. FAISS, Pinecone, Weaviate, or similar are fine for the vector layer; OpenAI, Claude, Llama 2/3, or comparable models may drive generation. • Retrieval tuned for high recall and low latency—students should see an accurate first response in well under a second for typical queries. • Step-wise explanatio...

...move quickly on one (or more) of today’s highest-margin AI verticals—automation with Zapier / Make and custom APIs, GPT-powered chatbots, auto-generated video, document OCR pipelines, or a lean SaaS MVP. You’ll help me pinpoint the best fit for my market, map the feature set, and then build a working prototype that’s ready to demo to early customers. Hands-on skill with tools such as OpenAI, LangChain, Zapier, Make, FFmpeg, and cloud hosting is essential. Show me examples where you took an idea from concept to a functional product that drives revenue or efficiency; live links or screen-shares are ideal proof. Deliverables will include: • A brief technical-and-market feasibility outline for the chosen vertical • A working prototype (web ...

I want to put routine admin work—email triage, light data-entry and calendar scheduling—on autopilot. Openclaw caught my eye, yet I am completely open to another framework or stack if it reaches the same outcome faster or more robustly. Here’s what I need, delivered as soon as realistically possible: • A working AI agent (Openclaw, LangChain, Auto-GPT, or your suggested equivalent) that can securely connect to Gmail/Outlook, Google Sheets (or Excel), and Google Calendar/Outlook Calendar. • Clear instructions or scripts that show me how to spin the system up again from scratch, including any API keys, environment variables or Docker files. • A quick Loom-style walkthrough so I can see the flow in action and verify that inbox rules, data capture...

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...specific coffee diseases (rust, pink disease, stem cracking) with >90% accuracy. Chemical Compliance Assistant (Vision + RAG): Takes an image of a chemical bottle, uses OCR to extract text, and uses a RAG pipeline (Langchain + Gemini/OpenAI) to check against our provided allowed/banned database. Must trigger a system action payload to "lock cultivation" if banned. Yield Prediction (Machine Learning): Uses XGBoost to process real-time IoT data (soil moisture, rainfall, etc.) and historical data to predict harvest yield. Tech Stack Requirements: Python, FastAPI YOLOv8, XGBoost LangChain, Vector DB (FAISS/ChromaDB) Docker & AWS EC2 () deployment What We Provide: Proprietary coffee disease images + public datasets CSV database of permitted/banned che...

AI & MACHINE LEARNING TRAINING MANUAL DEVELOPM...autonomously design, optimize, and deploy AI/ML solutions for risk management and customs clearance efficiency. Scope of Work: Develop curriculum and content focusing on advanced technical modules, including: Data Science & Machine Learning: Deep Learning and Python Data Science foundations. Generative AI & LLMs: Advanced Prompt Engineering, Fine-tuning, NLP/Transformers, and API Deployment (LangChain). Methodology: Emphasize practical application, real-world customs use cases, and Capstone projects (e.g., fraud detection modeling, LLM Chatbot development). Mandatory Requirements: Candidates must have valid certifications in ML/LLM/Data Science, proven experience training advanced technical audiences, and high proficiency...

...models) • Anthropic (Claude models) Required capabilities: • API integration (REST / SDK) • Token usage optimisation • Model selection logic: • cheap vs high-performance routing • Handling latency, failures, retries Bonus if YOU understand multi-model orchestration strategies 3. AI Agent / Automation Framework Experience (Highly Preferred) Experience with any of: • OpenClaw (ideal but rare) • LangChain • AutoGPT • CrewAI • similar agent frameworks The Candidate must understand: • tool calling • task execution • agent workflows • memory handling 4. Backend & Integration Skills 1. Node.js or Python backend experience 2. API design and integration 3. Webhooks (Telegram, APIs, etc.) 4. Ability to con...

...website—from user registration and payment gateway to an admin dashboard—using a solid, scalable stack (Laravel, Django, Node or similar; I’m flexible on the exact tech if you can justify it). • Build or integrate an AI engine that handles both scenarios I need: offering pre-written, province-compliant templates and, when requested, drafting a fully custom contract from scratch. Fine-tuning GPT, using LangChain, or another proven approach is welcome as long as the end result is accurate and explainable. • Embed a clear versioning system so every generated contract is stored alongside the user’s inputs for future editing. • Make the interface bilingual-ready. French fluency is a distinct plus because most of my audience speaks both English an...

...调用占比、流量趋势图 6. 日志管理：查看API调用日志、充值日志、管理员操作日志，支持日志筛选、导出 （五）用户前端（极简） 1. 简易用户中心，支持用户查看自己的密钥、剩余额度、调用记录、充值缴费 2. 提供API调用文档、示例代码（Python/JS/Java），方便用户快速接入 三、技术要求 1. 后端框架：优先Python FastAPI/Flask 或 Node.js Express/Koa（开发者可自选，优先高并发、易部署框架） 2. 数据库：MySQL/SQLite（优先MySQL，支持数据量大时扩展） 3. 前端页面：后台管理端使用简洁响应式模板，无需复杂UI，功能优先 4. 部署要求：支持Linux服务器一键部署，提供完整部署教程、启动脚本，支持Docker容器化部署（加分项） 5. 兼容性：支持流式返回、SSE推送，兼容各类AI开发框架（LangChain、LlamaIndex等） 四、交付标准 1. 交付完整项目源码，无加密、无后门，可直接编译运行 2. 提供详细部署教程（从环境搭建到项目启动、域名配置、Nginx反代） 3. 提供使用说明文档（后台操作、费率设置、密钥管理、用户充值等） 4. 完成所有功能开发，本地/服务器测试无BUG，接口调用稳定、计费准确 5. 提供1周免费技术答疑，协助完成上线部署 五、开发周期 要求7-10天内完成开发、测试、交付，可按时交付的开发者接单 六、备注说明 1. 项目为商用中转系统，需保证代码简洁、易维护、高并发稳定，杜绝卡顿、扣费异常等问题 2. 需完全对接OpenRouter官方接口，实现无感知转发，用户体验和官方API一致 3. 开发者需保证源码安全性，不得预留漏洞、不得窃取数据 4. 优先选择有AI接口中转、API代理开发经验的开发者 5...

...instance, allowing natural-language questions such as “What was EBITDA for 2023?” or “How did operating cash change quarter-over-quarter?” • Clear, offline-friendly documentation plus a brief demo confirming the system answers a supplied test set accurately. Environment details The server runs Linux with Python 3.11 and the latest Ollama build; libraries like pdfplumber, Camelot, pandas, LangChain, LlamaIndex, or similar are all acceptable as long as they install via and run fully offline. Deliverables 1. Complete, well-commented source code and 2. Setup guide and usage examples () 3. Recorded or live demo session showing ≥95 % extraction accuracy and correct answers on 20 validation questions drawn from the report If you have prior ex...

Looking for a highly skilled retail, merchandising, and pricing Data Scientist with deep expertise in AI, Generative AI, and NLP, who has hands-on experience building the following and can walk through in-depth examples and solutions they have implemented across diverse real-world scenarios to drive scalable retail, merchandising, and pricing initiative...Integration: Integrate solutions with applications and data systems via APIs and web services, ensuring scalability and reliability. Research & Development of Emerging Technologies: Stay updated on the latest AI/ML advancements and explore opportunities to incorporate innovations into merchandising and pricing transformation initiatives. Frameworks & Tools: TensorFlow, PyTorch, OpenAI, LangChain, and other modern ...

Looking for a highly skilled Data Scientist with deep expertise in AI and Generative AI to lead cutting-edge retail merchandising and pricing analytics initiatives, driving scalable forecasting, optimization, and intelligent automation solutions. -Leverag...to improve operational efficiency and maximize customer value. Manage the full machine learning lifecycle, including model monitoring, retraining, experiment tracking, and performance evaluation. -Develop and maintain CI/CD pipelines for reliable and scalable deployment of data science solutions. -Work with modern machine learning frameworks and tools such as TensorFlow, PyTorch, OpenAI, and LangChain. -Collaborate with cross-functional teams and integrate solutions with existing applications and data systems via APIs and web...

I need an experienced AI-agent specialist who can design and build ...conversational architecture (intents, entities, and fallback logic) • Connection to our existing FAQ / knowledge base for real-time answer sourcing • REST or WebSocket APIs plus webhook documentation so our devs can extend the bot • A short hand-over guide and two live walkthrough sessions so my team can monitor, retrain, and iterate on the model Experience with tools such as Dialogflow CX, Rasa, LangChain, or direct OpenAI / Azure OpenAI API calls is highly valued, but I’m open to alternative stacks if you can explain the benefits. Please share previous work on customer-service chatbots, outline your proposed approach, and tell me roughly how long it will take to reach an MVP we can te...

I need a fully-functional AI agent that takes repetitive workload off my plate. The core objective is process automation, with two immediate focus areas: • Social-media workflows – The agent should plan...basic analytics, flag unusual engagement, and hand over anything that needs a human touch. • Email – I want smart, context-aware automated responses that can keep simple conversations moving, while routing complex queries to me. End-to-end delivery is expected: strategy, modelling, coding, integrations, testing, and deployment on my existing cloud stack. I’m comfortable with Python, OpenAI / LangChain, Zapier, or similar tools—use what best meets the brief, but make sure it’s maintainable and well-documented. A short demo video and clean ...

...into an autonomous workflow that monitors for new input, kicks off processing, and produces the final report. What the agent must do • Detect or pull the latest data set. • Analyse key metrics and trends. • Generate clear performance reports (PDF or dashboard—whichever you can automate most cleanly). • Log each run and notify me when a report is ready. I’m open on tooling—Python, LangChain, OpenAI functions, RPA frameworks or a blend—so long as the result is reliable and easy to maintain. If you feel additional modules such as email management or data-entry hooks would improve the flow, flag them as optional add-ons; right now, the must-have is hands-free performance reporting. Deliverables 1. Working agent code with ...

I want to spin up a data-analysis bot that can be trained to act as a credit analyst. Its core duties will be credit risk assessment, financial reporting, and running predictive analysis on lending portfolios. I have not yet settled on the underlying LLM—Claude, GPT-4, or possibly a hybrid approach—so part of this engagement is your guidance on the best stack (e.g., LangChain orchestration, vector store, retrieval strategy) for accuracy, cost-efficiency, and explainability. Here is what I need to walk away with: • A working agent hosted in a cloud environment (or locally if more practical) that ingests structured and unstructured financial data, runs the three tasks above, and produces clear, exportable outputs. • A concise technical document covering arc...

...website—from user registration and payment gateway to an admin dashboard—using a solid, scalable stack (Laravel, Django, Node or similar; I’m flexible on the exact tech if you can justify it). • Build or integrate an AI engine that handles both scenarios I need: offering pre-written, province-compliant templates and, when requested, drafting a fully custom contract from scratch. Fine-tuning GPT, using LangChain, or another proven approach is welcome as long as the end result is accurate and explainable. • Embed a clear versioning system so every generated contract is stored alongside the user’s inputs for future editing. • Make the interface bilingual-ready. French fluency is a distinct plus because most of my audience speaks both Engl...

Our SME wants to replace a patchwork of Excel spreadsheets and sales platforms including Woo Commerce, Shopee and TikTok, with Claude-driven workflows that run without human intervention. The scope covers three areas: • Daily sales reporting – Claude should pull figures from the existing sales spreadsheet, summarise key KPIs, then em...by 9 a.m. SGT with zero manual steps. 2. Invoices render correctly for every sale type and pass our accounts’ validation. 3. Inventory sheet reflects real-time quantities and sends accurate restock alerts. On-site collaboration is required, so you must already be in Singapore. If you have previously wired Claude into spreadsheet workflows—or built similar automations with Zapier, Make, or LangChain—let’s talk a...

...the application Assessment & Gap Analysis: (Optional/Phase 2) AI-driven tests or suggestions for courses to help candidates bridge skill RequirementsFrontend: Modern frameworks such as React, , or Angular for a responsive and intuitive : Scalable environments using Python (Django/Flask), Node.js, or Frameworks: Experience with OpenAI APIs, LangChain, TensorFlow, or PyTorch for building matching models and resume : Secure and efficient data handling with PostgreSQL, MySQL, or : Secure login/registration with role-based access control and optional OTP functional web application (responsive for mobile/desktop).Source code with clean, well-documented

...direction Technical Expectations: Freelancer should have strong experience in: * Python * LLM / RAG systems * vector databases * graph databases / Neo4j or equivalent * document parsing / PDF processing * evaluation of GenAI systems * prompt design for evidence-grounded answering Preferred experience: * Graph RAG * hierarchical / tree-based retrieval * Bedrock / Azure OpenAI / OpenAI APIs * LangChain / LlamaIndex / custom pipelines * citation-grounded QA systems What I Need in Proposal: Please include: 1. Relevant similar work you have done 2. Your suggested technical stack 3. How you would implement all 3 approaches 4. How you would ensure fair comparison 5. Estimated timeline 6. Estimated budget 7. Key risks / assumptions 8. Example of deliverables you would provide Proj...

I am looking to build an AI-powered automated news aggregation and publishing system. The system should fetch top 5 global business news every hour via Google search, and every 30 minutes extract geopolitical updates (especially India–USA trade topics) ...every hour via Google search, and every 30 minutes extract geopolitical updates (especially India–USA trade topics) from Google and 10 provided websites. It should generate summaries, translate content into Hinglish, extract relevant images, and automatically publish posts on a WordPress news website. An admin panel is required to manage topics, sources, and posts. Preferred stack includes N8N or LangChain with OpenAI integration. The project also includes building a modern, SEO-friendly WordPress website with full auto...

...WhatsApp, and similar), so the underlying architecture needs to be truly channel-agnostic. Conversation quality must feel advanced: natural language understanding, contextual memory across sessions, intent recognition, small-talk handling, plus the ability to surface personalised offers or knowledge-base articles without sounding scripted. If you like working with GPT-4, Rasa, Dialogflow CX, LangChain, vector databases, or similar NLP stacks, that’s exactly the toolbox I expect you to draw from—use whatever combination delivers the most reliable, low-latency performance. I’ll provide brand guidelines, sample workflows, and the initial FAQ/content; you’ll deliver the trained model, well-commented codebase, deployment scripts, and an admin dashboard where ...

I’m currently looking to work with top-tier AI developers who have hands-on experience building production-ready AI agents. This is a high-impact, execution-focused project where we’ll be building 7 specialized AI agents across different use cases (Sales, Support, Training, etc.). What I’m looking for: - Strong experience with Python-based AI agents - Hands-on with LangGraph / LangChain / agent orchestration frameworks - Experience working with OpenAI APIs, tool calling, memory, and multi-agent systems, OpenClaw - Familiarity with building end-to-end agentic workflows (backend + integration) - Experience deploying agents to production environments (APIs, cloud, etc.) - Understanding of prompt engineering + system design for real-world use cases Bonus if you&rsqu...

...me toggle data-source permissions and update prompts without redeploying code. 3. A competitive-analysis pipeline with scheduled runs, a concise dashboard, and exportable reports. 4. Deployment documentation, including environment variables, model choices, and step-by-step setup so my team can maintain everything. If you’ve shipped similar agentic workflows before, especially with Claude, LangChain, or Semantic Kernel, let’s talk details and timelines....

...ready-to-publish copy and creatives suitable for Instagram, Facebook, and similar channels. Key expectations • End-to-end workflow: data ingestion → content generation → optional scheduling/export. • Cohesive tone that matches our existing agarbatti branding while remaining adaptable for future perfume, e-commerce, and marketing divisions. • Built with scalable, well-documented code (Python, LangChain/OpenAI or comparable stack) so I can extend the same framework to raw-material management or production optimisation in later phases. Deliverables 1. Source code and environment file. 2. One-click deployment guide (local or cloud). 3. Demo session showing the agent producing at least ten varied social media posts from sample inputs. Acce...

...Shipping/About Us pages. Determine the e-commerce platform and current tech stack. Waterfall Enrichment: Set up a multi-step email finding logic: If Apollo API fails, try , then Prospeo/Proxycurl (LinkedIn scraping). Verify emails using ZeroBounce or MillionVerifier. Output: Sync all data into a Google Sheet or a PostgreSQL Database. Preferred Tech Stack: Language: Python Framework: LangChain / LangGraph or CrewAI (Agentic Frameworks) LLM: GPT-4o / Claude 3.5 Sonnet Scraping: Firecrawl / Browserbase Search: / Tavily AI Deliverables: A functional script or backend that can process batches of 500-1000 leads at a time. Dashboard or simple UI to trigger searches and download CSVs. Documentation on how to rotate API keys and manage costs. Please share your experience with AI

...Push approved items to the app through its REST/GraphQL API, on a daily or weekly schedule I can adjust For catalogs, be ready to download PDFs or scrape product pages, then pull out spec sheets and key attributes. Everything must remain traceable back to the original URL or document. Build the agents end-to-end—scraper, NLP enrichment, database, scheduler, and API integration. Python (Scrapy, LangChain, OpenAI, BeautifulSoup), or a comparable stack, is ideal but not mandatory if you can deliver the same reliability and speed. Timing is critical; I’d like a working MVP ASAP, followed by refinements once we see real data flowing. Please share a concise plan, the toolset you prefer, and examples of similar automations you have already deployed....

...questions, steering users toward relevant products to boost sales, and keeping the overall experience lively with smart engagement prompts. Here’s what I’m after: you’ll design, train, and deploy the conversational model, hook it into my existing REST endpoints for user data and order processing, and hand back clean code that slots straight into our cross-platform build. Dialogflow, Rasa, LangChain, or another modern NLP framework is welcome so long as response times stay low and everything runs inside our cloud environment. Key deliverables • Intent recognition, multi-turn dialogue management, and fallback to a live-agent API • Integration-ready modules for both iOS and Android builds • Light analytics or export so we can monitor usage ...

...is to shape and maintain an advanced, agentic system built with LangChain and LangGraph. An Agent Orchestrator will sit at the heart of it, complete with policy-driven guardrails, robust retry mechanisms, and clear tracing so we can explain every decision the agents make. You’ll wire this into our existing Azure DevOps setup—Repos, Pipelines, and Wiki—for seamless CI/CD, and keep the codebase production-ready through thoughtful testing and documentation. If you’ve previously connected Azure Bot Service to Microsoft Teams or explored Microsoft 365 Copilot, that experience will come in handy because conversational entry points are on the roadmap. Deliverables I’m expecting: • A working Agent Orchestrator built with LangChain + LangGraph...

... Automation matters. I want the entire judging cycle triggered by a single command or API call so that new data drops straight through the process without manual work. A short README that lets me reproduce results locally will be the final checkpoint. Acceptance criteria 1. A refined problem statement delivered as a living document. 2. Reproducible code (Python, Pandas, scikit-learn, LangChain/OpenAI or similar) that runs on sample data I provide. 3. A metrics table and visual summary that quantify the LLM judge’s performance against the traditional analysis. 4. One-click (or single-command) execution proving the automation....

...caso de uso claramente definido (te paso el briefing y los flujos actuales) y lo conviertas en un agente funcional, bien documentado y listo para producción. • Que uses las mejores prácticas de aprendizaje automático y, cuando aplique, visión por computadora para extraer o validar información. • Que te sientas cómodo integrando LLMs (OpenAI, Azure OpenAI, Anthropic, etc.), frameworks tipo LangChain, Rasa o similares y orquestadores como FastAPI, Flask o Django. • Que entregues código limpio en Python, pipelines reproducibles y un breve README con instrucciones de despliegue y pruebas. Aceptación del trabajo 1. El agente completa el proceso de principio a fin con al menos 95 % de precisión sobre...

...Generative AI system into full production and want a senior engineer who has already solved the real-world problems this move uncovers. The stack is centred on Amazon Bedrock, where we are actively working with Claude 3, Titan, Llama 3 and Mistral. Your track record should show that you have wired those or comparable foundation models into live workloads before. Our orchestration layer relies on LangChain working hand-in-hand with LlamaIndex, Bedrock Agents and a set of custom integrations, so fluency with that trio is essential. Everything is written in modern Python (3.9+), surfaced through API Gateway, executed in Lambda and coordinated with Step Functions. Vector databases drive our semantic search, while Glue and Athena sit behind a serverless ETL pipeline that ingests both...

...parse large volumes of text, compare current documentation against the latest regulations, and produce an evidence-backed narrative that lets me see exactly where our policies, procedures, or clinical protocols fall short. I’m looking for a partner who can: • Ingest PDFs, Word files, or web-based regulations using natural-language processing, preferably in Python with libraries such as spaCy, LangChain, or similar. • Map each requirement, clause, or standard to our internal documents, flagging any divergence or omission. • Generate a structured report (Word or searchable PDF) that lists gaps, cites the original regulation verbatim, and recommends concrete remediation steps. • Provide an exportable data file (CSV or JSON) so we can track resolution...

...resumen ejecutivo diario por [WhatsApp/Telegram/Email] con el link del proceso, el valor estimado, la fecha de cierre y un puntaje de "compatibilidad" con mi empresa. Requerimientos Técnicos: Experiencia en Python (BeautifulSoup/Selenium) o herramientas de automatización como n8n/Make. Conocimiento en integración de APIs de OpenAI o Google Gemini. Experiencia procesando documentos PDF con IA (LangChain o similares). Capacidad para entregar el código documentado y funcionando en la nube (AWS, Google Cloud o Render). entregable : DISEÑAR UNA ARQUITECTURA DE AUTOMATIZACION En el cual haya acceso a datos: el acceso debe ser inicialmente a SECOP 2, que es la pagina en donde se publican los procesos. Aquí hay varias cosas a ten...

...or similar) Strong English communication — you will work directly with non-technical managers who need clear explanations Ability to train non-technical users on browser-based tools — patience, clear documentation, screen recordings Self-directed and proactive — you do not wait to be told what is broken, you find it and fix it Strong Preference: Experience with AI agent frameworks (OpenClaw, LangChain, CrewAI, AutoGen, or similar) Prompt engineering skills — writing effective system prompts, managing context windows, and building knowledge bases for LLMs Experience with HubSpot API (deals, contacts, tickets, pipelines, workflows) and API Experience building agents or bots that automate multi-step business processes (not just chatbots) Familiarity with ve...

I’m currently looking to work with top-tier AI developers who have hands-on experience building production-ready AI agents. This is a high-impact, execution-focused project where we’ll be building 7 specialized AI agents across different use cases (Sales, Support, Training, etc.). What I’m looking for: - Strong experience with Python-based AI agents - Hands-on with LangGraph / LangChain / agent orchestration frameworks - Experience working with OpenAI APIs, tool calling, memory, and multi-agent systems, OpenClaw - Familiarity with building end-to-end agentic workflows (backend + integration) - Experience deploying agents to production environments (APIs, cloud, etc.) - Understanding of prompt engineering + system design for real-world use cases Bonus if you&rsqu...

...experienced n8n builder who can design, train, and deploy an AI-driven customer-support bot for my online store. This project is about moving beyond simple decision-trees to a conversation engine that understands context, speaks naturally, and plugs straight into the sales workflow. You will architect the full flow inside n8n, connect it to my store’s API, and layer in modern NLP services (OpenAI, LangChain or a comparable stack) so the bot can greet shoppers, surface product information, and escalate seamlessly when a human touch is required. The scope covers: • A clean, modular n8n workflow that handles conversation routing, data enrichment, and escalations • AI components (prompt templates and fallback logic) wired into the flow for accurate, brand-aligned r...

...compliance with Indian regulations for storing and processing user information. Success will be measured by response accuracy, average handling time, and seamless escalation for edge-case queries. When you apply, focus on your relevant experience—projects where you have designed or implemented conversational AI for customer support, the tools or libraries you relied on (such as Dialogflow, Rasa, LangChain, GPT-based solutions, etc.), and any results you can quantify. A brief outline of how you would approach this build, including preferred tech stack and timeline, will help me shortlist quickly....

...projects centered on AI Agentic frameworks. The ideal candidate will provide hands-on expertise in architecting and building autonomous agents using modern AI stacks. Technical Requirements AI Expertise: Minimum of 1 year of hands-on experience building AI Agentic frameworks. Cloud Proficiency: Minimum of 3 years of experience with the AWS platform. Core Stack: Advanced proficiency in Python, LangChain, and Claude (Anthropic). Tooling: Familiarity with leading AI tools and vector databases. Key Responsibilities Mentor our team through the end-to-end development of AI POCs. Provide architectural guidance on agentic workflows and tool-calling structures. Troubleshoot complex integration issues within the AWS ecosystem. Engagement Details Compensation: Hourly rate (based on ...

...focus on building intelligent autonomous systems powered by Large Language Models. The project involves designing and implementing AI agents capable of reasoning, planning, and interacting with tools and data sources in real-time. Key Responsibilities: - Design and develop AI agents capable of autonomous decision-making and task execution. - Implement agent workflows using frameworks such as LangChain, LlamaIndex, or similar. - Integrate LLMs (e.g., GPT-4, Claude) for reasoning, generation, and tool usage. - Build multi-step reasoning pipelines (planning, memory, retrieval, execution). - Develop and manage RAG (Retrieval-Augmented Generation) systems. - Connect agents with external tools (APIs, databases, search engines). - Implement vector search systems (FAISS, Pinecone, Ela...

I already have a fully-built AI chatbot platform ready for deployment. Instead of building from scratch, we can quickly customize and launch it based on your business requirements. If you'r...queries, and improvements. • Deployment & support – Fast and smooth deployment with minimal effort from your side. – Ongoing guidance for updates, retraining, and usage. Key highlights: - No need to build from scratch - Faster time to launch - Fully customizable solution - Scalable for growing businesses Our platform is built using a robust tech stack including Python, FastAPI, LangChain, and vector-based search systems, ensuring performance and scalability. If you're exploring AI chatbot solutions for your business, feel free to connect &mda...

...dataset) Basic Hadith dataset (Sahih Bukhari / Muslim preferred) Vector Database Store embeddings for Quran/Hadith Enable fast semantic search Admin Panel (Simple) Ability to add/update/delete knowledge entries Basic Web Chat Interface Simple chat UI (no advanced design needed) Preferred Tech Stack: AI: Ollama (local LLMs like Llama 3 / Qwen) Backend: Python (FastAPI or Flask) Framework: LangChain (or similar) Vector DB: ChromaDB Frontend: React (simple UI) Requirements: Experience with RAG systems Experience with LLMs (OpenAI, Ollama, etc.) Ability to demonstrate previous chatbot/AI work Clean, scalable code Important Notes: Accuracy is critical (Islamic content must not be fabricated) AI must not hallucinate answers Must follow strict system prompt rules ...

...technical issues. I need the full site designed, developed, and deployed with the chatbot seamlessly embedded so it appears on every page and can maintain context as visitors navigate. For the AI layer, I expect the bot to recognise intent, hold multi-turn conversations, and trigger back-end actions (for example logging a ticket or sending lead data to a CRM). Feel free to tap frameworks such as LangChain, Rasa, Dialogflow, or direct OpenAI API calls—whichever you believe will give the most reliable agentic behaviour while still letting me retrain or extend intents later. Front-end look and feel should be clean, modern, responsive, and lightweight. A simple admin panel (or clearly documented config files) is needed so I can update FAQs, view captured leads, and tweak syst...

We are looking for an experienced freelancer to develop a Proof of Concept (PoC) for an AI/ML solution incorporating **Retrieval-Augmented Generation (RAG)**. The goal is to build a prototype that combines machine learning with contextual data ret...experience in AI/ML and NLP * Hands-on experience with RAG pipelines * Proficiency in Python and ML frameworks * Experience with vector databases (FAISS, Pinecone, Weaviate, etc.) * Familiarity with LLMs (OpenAI API, Hugging Face models, etc.) * Knowledge of embeddings and semantic search **Preferred Qualifications:** * Experience building chatbots or knowledge-based AI systems * Familiarity with LangChain / LlamaIndex or similar frameworks * Experience deploying AI systems (cloud or local) * Understanding of prompt engineering and opt...