Langchain trabalhos
...logs, or mixed-format exports from third-party tools. Core objectives • Parse and normalise those semi-structured sources. • Automate the data-entry and clean-up pipeline so I never touch a spreadsheet again. • Run exploratory and descriptive analysis, then surface results through concise reports or dashboards. I am language-agnostic, but Python with libraries such as Pandas, spaCy, or LangChain would fit well; feel free to propose alternatives if they serve the same purpose. Everything should live in a well-organised GitHub repo, complete with clear commit history and a README that lets me spin the agents up in minutes. Deliverables • Fully functional agent code in GitHub • Setup instructions and dependency file • Sample dataset plu...
...logs so I can see volumes, sources, and basic performance stats in real time Once this core is humming, we will expand to automated email sequences, follow-up logic, AI-driven cold-calling that routes live prospects, and any revenue-positive side gigs the model can handle. For now, show me the working pipeline, walk me through the code, and prove the leads are real and contactable. Python, LangChain, vector databases, or your preferred stack are fine as long as they remain license-free and easy to maintain. I’ll supply access credentials, sample data, and compliance guidelines the moment we kick off. Acceptance criteria: the system must deliver a batch of fresh, validated leads and document the exact steps so I can rerun or scale it independently. I will pay 50.00...
...y el cambio de diferentes Large Language Models (LLMs). Acompañamiento Continuo: * Participación en reuniones semanales para revisar el progreso, definir los siguientes pasos y apoyar el proceso de aprendizaje y experimentación con IA. Requisitos Técnicos Indispensables (Tech Stack): * Lenguaje de Programación: Python (nivel experto). * Frameworks de IA: Experiencia demostrable con LangChain, LlamaIndex o CrewAI para el desarrollo de agentes. * Bases de Datos Vectoriales: Conocimiento y experiencia práctica con Pinecone, Weaviate, Qdrant o ChromaDB. * Modelos de Lenguaje (LLMs): Experiencia en la integración de APIs de OpenAI/Anthropic y en la ejecución de modelos locales (Ollama/HuggingFace). * Prototipado d...
...- Task breakdown - Assignment & tracking - Progress reporting - Surfacing blockers and risks ## Core Requirements - Agents deep dive into a project idea by asking questions - Once the agent understands exactly what the user wants, appropriate documents are created and handed over to the next agent ## Tech Currently using **Google ADK** and having a semi working flow. But open to **LangChain**, **Autogen**, or alternative orchestration frameworks that better support: - Multi-agent coordination - Memory (short- and long-term) - Tool access & integrations --- ## Deliverables - Working demo project with clearly defined agents - Architecture diagram - Setup documentation - Extendable agent design --- Looking for someone experienced in multi-agent...
...monolithic ERP today Is ready for microservices in the future Implement: Tenant isolation Access control Prompt governance AI audit logs Mandatory Skills Strong backend engineering experience Solid SQL and MySQL expertise Experience integrating AI with: Enterprise systems Monolithic applications Hands-on experience with: LLMs (OpenAI / Azure OpenAI / equivalent) AI agent frameworks (LangChain, LangGraph, CrewAI, or custom) Understanding of authentication, authorization, and RBAC Highly Preferred Prior work on ERP / CRM / SCM / FinTech systems Experience dealing with: Legacy or monolithic architectures Incremental modernization Knowledge of procurement, inventory, BOMs, and vendor workflows...
...back to specific requirement lines or Jira acceptance criteria. 5. Accuracy benchmark: at least 90 % of the agent’s suggestions should be judged “useful” by two senior QA engineers in a blind review. Tech freedom I am comfortable with Python, TypeScript, or similar stacks, and we already host services on AWS. Feel free to propose the best combo of LLM, vector store, and orchestration (LangChain, LlamaIndex, or your own framework). Deliverables • Source code with clear README and setup scripts • Deployment guide for an AWS container or Lambda • A short demo video walking through Jira integration and test-case generation • Post-delivery support period to iron out any edge cases If this matches your skill set, tell me how you ...
...sources • provide actionable recommendations where appropriate • deliver concise summaries of lengthy texts on request I expect a smooth user experience inside Telegram: natural conversation, inline replies, and threaded follow-ups. Technically, you are free to use OpenAI, Claude, or another LLM, so long as retrieval-augmented generation keeps answers grounded in my data. Python or Node.js, LangChain, and a vector store such as Pinecone or Weaviate all fit well here, but I am open to equivalent stacks. Deliverables 1. Fully functional Telegram bot deployed to my server 2. Ingestion pipeline with clear instructions so I can add new documents myself 3. Brief user guide plus setup notes Acceptance is complete when the bot can handle a ten-document pilot set,...
...AI engineer or consultant to help us design and build a robust multi-agent engine for our SaaS platform. The primary goal is to architect and implement a reliable, efficient, and cost-controlled multi-agent system capable of orchestrating a supervisor agent and multiple specialized sub-agents. We are particularly interested in professionals with strong hands-on experience in frameworks such as LangChain, LangGraph, Agno, or any equivalent agent orchestration framework that supports structured multi-agent workflows, tool execution, and state management. Our main priority is not database design or infrastructure setup, but rather the core orchestration engine itself. The system must support real supervisor-to-subagent delegation (not simple swarm-style horizontal agents), proper a...
...AI-driven chatbot from the ground up. At this stage I have a clear business need for an intelligent assistant but I’m open to your recommendations on the exact feature set, tech stack, and deployment channel. Here’s what I’ll rely on you to handle: • Scoping: translate my high-level objectives into a practical bot roadmap and recommend the most suitable NLP or LLM framework (e.g., Python with LangChain, Node.js, Dialogflow, Rasa, or another option you trust). • Architecture & Build: create the conversational flows, implement the model logic, and wire up any required APIs or data sources. • Training & Fine-tuning: curate or generate sample data, then train, test, and iterate until the bot responds accurately and naturally. • In...
Ich plane eine durchgängige KNIME-Workflow-Lösung, die sowohl E-Mails aus Mailcow als auch Dateien von meinem Dateiserver automatisiert ausliest. Anschließend sollen die Inhalte aufbereitet und in eine Vektordatenbank – bevorzugt über LangChain oder direkt in FAISS – überführt werden. Konkret erwarte ich: • Einrichtung des KNIME-Workflows zum parallelen Abruf von Mail- und Dateidaten (IMAP/SMTP-Handling, Dateiserver-Connector). • Verarbeitungsschritte zur inhaltlichen Aufbereitung: Parsing, Bereinigung, Tokenisierung und Zerlegung größerer Dokumente. • Speicherung der resultierenden Embeddings in der gewählten Vektordatenbank inklusive Index-Management. • Schnittstelle, die das fertige Vector-S...
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...personalised copy generation to scheduling, sending and basic analytics. • Manage our social media presence with auto-generated posts, simple scheduling and performance tracking. • Proactively search for suitable prospects, initiate outreach, nurture conversations and, where possible, close the deal or book in-person meetings for me to attend. If you’ve worked with tools such as OpenAI, LangChain, Zapier, GPT-powered chat flows or similar stacks and can wire them up to standard email, CRM and social platforms, that’s ideal. Clean, well-documented code and a quick hand-off are important; I want to own and easily extend whatever we build. Deliverables will be accepted when: 1. The website loads on my Hostinger domain with valid SSL. 2. The AI agent c...
A Generative AI Expert designs, develops, and deploys AI systems that can generate content such as text, images, code, audio, and video using advanced models like LLMs (Large Language Models) and...(Retrieval-Augmented Generation) Deploy AI models using cloud platforms (AWS, Azure, GCP) Optimize AI performance, latency, and cost Ensure AI ethics, bias mitigation, and data privacy compliance Integrate AI with web/mobile applications via APIs Required Skills Technical Skills Python (must) Machine Learning & Deep Learning NLP (Natural Language Processing) Transformers & LLM architecture Prompt Engineering LangChain / LlamaIndex Vector Databases (Pinecone, FAISS) API Integration Docker & Cloud Deployment Tools & Platforms OpenAI API Hugging Face TensorFlow / PyTorch A...
...efficient open-source models (like Llama 3, Mistral, or Gemma) that are optimized for local use (quantized versions). * User Interface: A simple, student-friendly interface (Web-based local UI or Desktop App) where students can type questions and get instant feedback. * Scalability: The ability to easily add or update the curriculum folders. Technical Preferences (Suggested) * Backend: Python (LangChain or LlamaIndex) * Model Management: Ollama, LocalAI, or GPT4All * Vector Database: ChromaDB or FAISS (must be local/persistent) * Frontend: Streamlit, Gradio, or a lightweight React app Ideal Candidate * Experience with Local Large Language Models (LLMs). * Proven track record building RAG pipelines. * Familiarity with hardware limitations for offline AI. * Experience in ...
.../ networking configuration Containerization (Docker) Environment configuration management Architecture Knowledge Designing middleware integration layers Converting complex APIs into business semantic APIs Handling long-running workflows Designing safe update operations (write vs read actions) Nice to Have Experience in enterprise systems integration Experience with agent frameworks (LangChain, LangGraph, Semantic Kernel, or similar) Knowledge of approval workflows / audit logging Experience deploying internal copilots or assistants Responsibilities Design the AI orchestration pattern (not just code implementation) Implement secure tool-based action execution Prevent unsafe or unintended write operations Provide extensible architecture for future integrations Doc...
...simply giving solutions. Safety is critical, so I need content filters, refusal handling, and basic session logging that lets us audit conversations without storing any personal data. I’m open to whichever stack you prefer—Python (FastAPI), Node.js, or a no-code backend—as long as it can interface smoothly with an LLM such as OpenAI GPT-4, Claude, or an open-source alternative (e.g. Llama-2 via LangChain). The current site runs on React, so the front-end widget should drop in with minimal rewiring and respect our existing SSO token to identify the parent account. Deliverables • Conversational AI model pipeline with prompt-engineering layer tuned for K-12 homework support • React embeddable chat widget styled to our design system • Backend ...
...non-negotiable. Mobile work will cover both iOS and Android. Cross-platform solutions like Flutter or React Native are welcome, but native Swift/Kotlin skills are equally valuable if a project demands it. The AI receptionist must integrate with common calendar systems (Google, Outlook, iCloud, etc.) and handle conversational booking, rescheduling and basic FAQs. Experience with Dialogflow, Rasa, LangChain or direct OpenAI API calls will be a major plus, and you’ll need to set up any necessary webhook or Twilio/WhatsApp gateway so the bot can operate on both web chat and messaging channels. Deliverables I expect on a typical engagement: • Clean, well-documented code in a public or private repo • Deployed, fully functioning web and/or mobile build • A ...
...responsibilities are: • Code generation from high-level specs • Pin-pointed bug-fixing suggestions after reading a failing test or stack trace • In-line code review and optimisation feedback before pull-requests are merged Language & tooling The model must reason confidently in Python, JavaScript and Java, because those are the three stacks our teams use daily. You are free to orchestrate it with LangChain, OpenAI, Llama-index, or similar frameworks—whatever lets the prompts stay dynamic and the responses actionable. Desired flow 1. User enters a natural-language request in our IDE or chat UI. 2. Agent classifies the intent (generate, fix, or review). 3. It builds a structured prompt that injects file context, coding standards, and test output...
...Procedimiento para actualizar modelos Vídeos/screencasts explicativos Diagramas de arquitectura Asesoramiento de Hardware: Recomendación detallada de configuración de servidor local (GPU, RAM, almacenamiento, concurrencia estimada), con margen de escalabilidad. 5. REQUISITOS DEL CANDIDATO Experiencia demostrable en despliegues On-Premise de LLMs y arquitecturas RAG industriales. Dominio de LangChain, LangGraph o LlamaIndex. Capacidad de crear sistemas de scraping robustos para plataformas sin API. Experiencia sólida en búsqueda vectorial y embeddings en dominios técnicos. Conocimiento de librerías de ingestión documental y diseño de pipelines ETL complejos. Experiencia en arquitectura modular, resiliencia y ...
...passes context, and returns suggestions. • A brief walkthrough (video or written) that shows the integration running inside VS Code so I can replicate the setup on additional machines. I’m comfortable handling routine setup tasks, but I’ll rely on you for the deeper pieces—authentication flows, API usage, extension hooks, or any SDK glue required. If you see a need for additional tooling (LangChain, OpenAI Java SDK, etc.) please explain your choice and wire it in. Acceptance criteria: 1. I can run the provided sample project in VS Code and see automated suggestions appear for Java files. 2. The integration respects the Copilot (or alternative model) limits and handles errors gracefully. 3. All configuration steps are documented so a teammate can f...
AI & Full-Stack Tech Client Acquisition Partner Needed (Commission-Based) I am an experienced Full-Stack AI & Software Engineer with strong hands-on expertise in building production-ready systems, including: AI / LLM Development (OpenAI, Gemini, LangChain, RAG, AI Agents) Machine Learning & Data Science (Python, Pandas, NumPy, Scikit-learn) Backend Development (Python, Node.js, REST APIs) MERN Stack (MongoDB, Express, React, Node.js) DevOps & Deployment (Docker, CI/CD, Cloud hosting) Automation & AI Chatbots (WhatsApp, Web, CRM integrations) I deliver scalable, high-quality solutions with clear communication and on-time execution. Role: Client Acquisition Partner I’m looking for a motivated, reliable partner who can bring genuine AI / software developme...
...with safe-delete and bulk-archive logic • Workflow automation module (documentation handling, routine process triggers) • Calendar sync service with reminder system • Tone-aware email rewriter + grammar checker • Prioritization layer and concise web or desktop dashboard with API access Technologies like Python, Node.js, serverless functions, and modern NLP/LLM frameworks (e.g., OpenAI, LangChain, spaCy) are welcome—just outline your stack and show me previous, relevant AI work. Deployable code, clear documentation, and a short demo video will complete acceptance. If you can bring this intelligent, professional-grade assistant to life, let’s talk timelines and milestones. I already have the layout, what apps to use, and how to build it......
...or answer instantly, and feel as if they are speaking with a well-trained human agent. Alongside the chat experience, I need an end-to-end AI pipeline that automatically extracts raw data from the web, aggregates and cleans it, performs analysis, and then publishes clear visualisations—including map views—so insights are always one step away. I’m comfortable with tools such as Python, Pandas, LangChain, Node, SQL, Power BI, Tableau, or any similar stack you can justify. Key deliverables • Deployed WhatsApp agent(s) connected through the WhatsApp Business API - WhatsApp channel is ready. • Retrieval-augmented knowledge base so the bots surface the latest information without hallucinations .. Critical • Automated ETL jobs (n8n, Airflow, or yo...
...feels at home in both TypeScript and Python and has already played with the popular open-source “AI agent” stacks. My immediate goal is to stand up a proof-of-concept chatbot that can reason over structured data stored in a SQL database, surface answers in natural language, and be easy for me to extend later. Here is what I’m after: • Pick and wire up an open-source autonomous-agent framework (LangChain, AgentGPT, SuperAGI or a comparable option you trust). • Expose a clean TypeScript interface so the rest of my app can call the agent with a prompt and receive a streamed response. • In Python, configure the agent’s toolset to pull data from my existing Postgres tables, run simple analytic queries, and return concise answers. • S...
...stitch together a fully automated workflow in n8n that is assisted by an AI agent. The core objective is hands-free workflow automation spanning Google Workspace, Salesforce and Slack so I can quit the repetitive busywork and focus on higher-value tasks. Here is the scope I have in mind • Email management – an n8n flow should watch Gmail, classify inbound messages with an AI classifier (OpenAI, LangChain, or your preferred library), file or label them, surface high-priority threads in Slack and, when relevant, create or update Salesforce records. • Data synchronisation – contacts, deals and support tickets must stay in sync between Salesforce and Google Sheets / Drive with conflict resolution rules. • Task management – when certain triggers...
...platform such as WhatsApp or Telegram is up to you, as long as the hand-off feels effortless to the student. • A lightweight teacher dashboard so I can see how the bot is being used, update answers, and switch it off if I need to jump in live. • Source code and clear deployment instructions so I can host the solution myself once we finish. I’m comfortable if you build on Dialogflow, Rasa, LangChain, or a custom Python/NLP stack so long as we end up with a maintainable project that doesn’t lock me into hidden costs. At hand-over I will test the bot against a sample lesson, asking follow-up “why” and “how” style questions. When it answers with wording consistent with my material and shows no hallucinations, I’ll sign off. I...
...efficient open-source models (like Llama 3, Mistral, or Gemma) that are optimized for local use (quantized versions). * User Interface: A simple, student-friendly interface (Web-based local UI or Desktop App) where students can type questions and get instant feedback. * Scalability: The ability to easily add or update the curriculum folders. Technical Preferences (Suggested) * Backend: Python (LangChain or LlamaIndex) * Model Management: Ollama, LocalAI, or GPT4All * Vector Database: ChromaDB or FAISS (must be local/persistent) * Frontend: Streamlit, Gradio, or a lightweight React app Ideal Candidate * Experience with Local Large Language Models (LLMs). * Proven track record building RAG pipelines. * Familiarity with hardware limitations for offline AI. * Experience in ...
...system using Python + LangGraph (OpenAI). Your main responsibilities: Build AI workflow using LangGraph + Python Connect AI system with Laravel backend (API integration) Handle prompts, memory, logic, and flow Optimize for speed and scalability Deploy on shared/VPS server (cPanel/Linux) Provide documentation & handover Technical Requirements You must have strong experience in: Python LangGraph / LangChain OpenAI API REST APIs Laravel integration Server deployment (Linux / cPanel / VPS) Git / Version Control Bonus if you have: SaaS experience AI chatbot / automation projects WhatsApp / Messaging API integration...
...While the mobile build is underway, I also want to formalise the visual language of the product—colours, type, iconography, tone—into a concise brand style guide that my team can reuse across every touchpoint. Certain features in the roadmap rely on AI (for example, smart content recommendations and intent-based search). If you have preferred libraries or services—TensorFlow Lite, OpenAI, LangChain, or on-device ML kits—bring them into the discussion; speed of delivery is key. I’m comfortable with AI-assisted tooling (GitHub Copilot, automated testing, etc.) if it keeps the timeline tight. Once the mobile MVP is solid, I want a pared-down web companion built from the same React codebase wherever possible. A responsive layout, minimal routing, a...
I am looking for an experienced RAG engineer to improve my AI system built with LangChain and OpenAI, focusing on better retrieval accuracy and structured outputs. The role involves redesigning our vector store strategy (beyond basic Chroma) to support fresher, time-aware, and more relevant results. You will also refine prompt engineering to ensure strictly valid JSON outputs and reduce hallucinations in multi-step RAG workflows. Responsibilities include reviewing and refactoring the current RAG architecture, optimizing embeddings and chunking, and improving performance and scalability. Ideal candidates have strong experience with RAG systems, vector databases, prompt engineering, and production-grade Python.
...a system that learns over time, improving: * Project prioritization * Builder / authority relevance scoring * Sales effort allocation and visit planning Preferred Technical Profile * Hands-on experience with: * LLMs (ChatGPT, Claude, Gemini, open-source models, etc.) * Prompt engineering and agent-based workflows * Familiar with tools such as (or similar): * AutoGPT / LangChain / CrewAI / OpenAI APIs * Web scraping + AI parsing workflows * No-code / low-code automation platforms * Strong understanding of: * Data pipelines * Knowledge graphs or relationship mapping * AI-assisted research systems * Comfortable working independently and thinking in terms of scalable systems, not manual tasks Engagement Model * Fully remote * Freelance /...
...them toward demos or check-out. On social media it must publish scheduled content and jump into the comments or DMs to keep conversations alive—no spammy replies, just context-aware engagement that feels human. For email, I’m after smart sequencing: the agent should segment subscribers on the fly and send tailored follow-ups based on behavior. I don’t mind which stack you prefer—OpenAI GPT, LangChain, Rasa, Dialogflow, or a custom Python/NLP setup—as long as the final solution is easy for my team to tweak and monitor. If you can connect into our existing CRM (HubSpot) and analytics tools, even better. Deliverables • Fully functional AI agent with web-chat widget • Social integrations covering posting & real-time engagement on the ...
...updates without touching code. – User accounts with basic matter tracking, document uploads and encrypted storage. – Deployment to my existing domains with staging and production environments. Stack guidance I’m comfortable with React or on the front end and Node, Django or similar on the back, so long as you can justify your choice. For AI, feel free to pull in OpenAI / GPT-4, LangChain, Pinecone (or an equivalent vector store). You just need to justify your choice and it's fine if the team is okay with it. Acceptance criteria (final hand-off) 1. Two responsive websites live on our servers, SSL enabled. 2. AI chatbot answers our seeded questions with <3 sec average latency and 95 % accuracy on a test set we’ll supply. 3. Admin dashb...
We are building an AI Agent Builder platform that allows users to create, configure, and run AI agents from a dashboard. Users should be able to: Create AI agents Define agent tools/services (APIs, webhooks, integrations) Run agents with conversation history Manage agents from a web dashboard This is a real product, not a demo or experiment. Tech Stack Backend (AI / Logic) Python LangChain LangGraph Jinja (for dynamic templates / configs) Backend (App / API) Laravel (Auth, users, billing/balance, APIs) Frontend React.js (Agent Builder UI, dashboard, testing agents) Scope of Work 1. AI Backend (Python) Build agent orchestration using LangGraph Tool-based agents (API calls, functions, integrations) Support agent memory & conversation history Streaming & no...
Project Title: Build a Multi-Modal AI Productivity Suite (Meeting & Document Intelligence) Project Description I am seeking a developer to collaborate on a high-level AI productivity tool. The goal is to create a system that can pr...Retrieval-Augmented Generation system allowing users to upload large PDF/DOCX files and "chat" with the data for specific facts. Module 3: Sentiment & Intent Analysis: A dashboard component that tracks the "mood" of a conversation or document. Integration: A clean, functional API or Streamlit-based frontend to tie these features together. Required Technical Stack: Language: Python AI Frameworks: LangChain or LlamaIndex Transcription: OpenAI Whisper or AssemblyAI Database: Vector Databases (ChromaDB, Pinecone, or FAISS)...
...landing pages. • Finance Agent – generate timely management reports and keep real-time tabs on expenses. • HR, Operations, Customer Success Agents – I have broad objectives for each (talent administration, workflow optimisation, proactive client health respectively) and will refine the exact tasks with you during discovery. What I need from you – Select the right stack (e.g., OpenAI/GPT-4, LangChain, vector store, RAG pipelines) and architect it so each agent runs independently but can safely share context when helpful. – Build, test, and harden the six agents, then deploy them to either our Azure environment or a lightweight cloud of your preference. – Provide clean prompts / code, an integration map (CRM, marketing suite, ERP), a...
...agent will read incoming tickets, suggest or send context-aware replies, and escalate anything outside predefined confidence levels. At the close of each cycle it will compile a concise report: updated record counts, uptime metrics, customer-support KPIs, and a short trend analysis showing spikes or deviations. A Python stack with REST integration, async handling, and libraries such as pandas, LangChain or similar for LLM prompts would suit us, but I’m open to other reliable options if they meet the same goals. Execution can be triggered by cron, a lightweight scheduler, or a serverless function; what matters is that it runs unattended and keeps detailed logs. Deliverables • Production-ready agent script(s) with clear setup instructions • API interface modul...
...setup guide • Documentation explaining how personalization is achieved and where to extend the curriculum Completion is defined by my ability to log in as a test learner, select a topic from the sample set I will provide, and receive a coherent, adaptive lesson that changes when I intentionally give wrong or right answers. When you reply, please outline the toolchain you prefer (e.g., Python, LangChain, Pinecone, ) and share one example of a similar adaptive-learning feature you have shipped....
I’m looking for a true specialist in LangGraph and LangChain to work hourly on building and improving AI agents that are already running in production. This is not a research role, a tutorial-based role, or a “learning as you go” engagement. The architecture exists. Agents exist. Problems exist. I need someone who knows how to design, fix, and scale agent workflows properly. If you’ve only built demos, chatbots, or basic chains, this role is not a fit. What you’ll do * Design and refine agent workflows using LangGraph * Build and maintain advanced logic with LangChain (chains, tools, memory, routing) * Fix broken or poorly designed agent flows and state handling * Improve reliability, performance, and cost efficiency * Work on multi-step, dec...
...should be able to edit those if we want to if everything is set then it should give us the option to generate code and tell the commands also how to run that code give me proper functioning project with all the changes and one more thing I want a production level project please give me correct and every step should be editable according to the user need please give me everything perfect and use langchain and agents for each and every step design many agents which do different things and different agents should be in different files Unser same project every task should be assigned to some agent and I can see every agent clearly please give me the desired result and 1 more thing i am using groq api key so give me according to that and the code which the app generates in the last sh...
...public datasets). • Parse results intelligently, filter out noise, and assemble a short, readable summary plus citations. • Handle follow-up questions by refining or expanding the original search, rather than starting from scratch. • Respond in under two seconds for typical queries. Tech notes I am comfortable with Python and REST APIs, so leveraging tools like Requests, BeautifulSoup, LangChain, or a lightweight vector database is fine—feel free to suggest alternatives if they improve speed or accuracy. Deliverables 1. Well-structured, commented source code. 2. A brief README explaining setup, environment variables, and how to add new data sources later. 3. A short demo video or GIF proving the assistant can answer at least five varied knowle...
My multi-tenant Laravel ERP SaaS needs an agentic AI layer that can take over intelligent customer support inside the Customer Relationship Management area. The goal is f...commented PHP & JS/TS code. • Feature flag so I can enable AI per tenant. • PHPUnit & Pest tests covering the new service class and controller (minimum 85 % coverage on added lines). • Setup notes added to README, including any new env keys. • Deployed and demoed on my staging server within one week from contract start—ASAP is ideal. If you have previous experience weaving agentic flows, LangChain-PHP, or writing custom OpenAI function calls in Laravel, you’ll hit the ground running. Let me know which libraries or architecture patterns you’d lean on so we can...
... Implementing a RAG-based chatbot that: Only answers when evidence is found Displays citations (document name, excerpt, date, author) Shows confidence level and “as-of” timestamp Developing a simple web UI (FastAPI/Django + React or similar) Using open-source/local LLMs (Ollama, vLLM, etc.) Enforcing security and role-based access (basic level) Preferred Tech Stack (Flexible) Python LangChain or LlamaIndex FAISS or Qdrant PostgreSQL / SQLite FastAPI or Django Local LLMs (Mistral, Llama, etc.) React / simple frontend Deliverables Working chatbot web application Ingestion pipeline scripts Vector search + citation system Documentation for setup and deployment Sample queries and test cases Source code in GitHub repository Who Should Apply We are loo...
...part of this engagement will involve a brief discovery session where we clarify the core function (customer support, data insights, virtual assistance—whichever proves the best fit) and choose the most practical channels—web, mobile, CRM, or a combination. Once the scope is locked in, I will rely on you to architect, train, and deploy the solution. Typical tools might include Python, Node.js, LangChain, or a comparable framework for large-language-model orchestration, but I’m flexible as long as the final agent responds accurately, logs conversations for later review, and can be expanded with additional skills. Deliverables • A working AI agent hosted in a test environment • Connection hooks or webhooks ready for the agreed-upon platform(s) &bu...
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...overall fit. Once I’ve tested your demo, I’ll outline the domain specifics and grant data access. The engagement will revolve around refining your existing model, exposing a clean REST or GraphQL API, and deploying the solution to my cloud environment (AWS or GCP). Solid accuracy, low latency, and well-documented Python code that leverages libraries such as Hugging Face, PyTorch, TensorFlow, or LangChain are all critical. Deliverables: • A publicly accessible link to your working NLP demo • Brief but clear architecture and tech-stack summary • A step-by-step plan to adapt the model to my use case • Final integrated solution with deployment and usage documentation I’ll review submissions on a rolling basis and follow up quickly with...
...royalty mechanism. Alongside the minting process, I want a language model to process the same material—extract keywords, generate a concise summary, possibly produce embeddings—and write those insights back into the token’s metadata or a linked JSON file. Think Solidity (ERC-721 or ERC-1155 with OpenZeppelin), IPFS or Arweave for storage, plus a Python or Node script that calls GPT-4 / Llama via LangChain or similar. This person must also be familiar with setting up a blockchain and wallets. Specifically using AWS to start, but flexible on learing. Deliverables • Hyperledger smart contract with ownership, transferability, and royalty logic ready for main-net deployment • Data ingestion script that uploads assets, builds metadata, and calls the ...
...should be able to edit those if we want to if everything is set then it should give us the option to generate code and tell the commands also how to run that code give me proper functioning project with all the changes and one more thing I want a production level project please give me correct and every step should be editable according to the user need please give me everything perfect and use langchain and agents for each and every step design many agents which do different things and different agents should be in different files Unser same project every task should be assigned to some agent and I can see every agent clearly please give me the desired result and 1 more thing i am using groq api key so give me according to that and the code which the app generates in the last sh...
...should be able to edit those if we want to if everything is set then it should give us the option to generate code and tell the commands also how to run that code give me proper functioning project with all the changes and one more thing I want a production level project please give me correct and every step should be editable according to the user need please give me everything perfect and use langchain and agents for each and every step design many agents which do different things and different agents should be in different files Unser same project every task should be assigned to some agent and I can see every agent clearly please give me the desired result and 1 more thing i am using groq api key so give me according to that and the code which the app generates in the last sh...
...royalty mechanism. Alongside the minting process, I want a language model to process the same material—extract keywords, generate a concise summary, possibly produce embeddings—and write those insights back into the token’s metadata or a linked JSON file. Think Solidity (ERC-721 or ERC-1155 with OpenZeppelin), IPFS or Arweave for storage, plus a Python or Node script that calls GPT-4 / Llama via LangChain or similar. This person must also be familiar with setting up a blockchain and wallets. Specifically using AWS to start, but flexible on learing. Deliverables • Hyperledger smart contract with ownership, transferability, and royalty logic ready for main-net deployment • Data ingestion script that uploads assets, builds metadata, and calls the ...
