You will get AI Agent Using LangChain & Ollama
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Project details
In this project, I developed a smart automation agent capable of performing real-time interaction with different available tools powered by a local LLM via LangChain-Ollama integration. The objective was to automatically search for the latest Ollama models using online tools.
Key Highlights:
š Automated : Used a custom Agent class with browser emulation to navigate online, execute searches, and interact with tools like a human user.
š§ LangChain + Ollama Integration: Incorporated the ChatOllama wrapper with the lightweight Qwen 1.7B model to drive intelligent task planning and decision-making.
āļø Asynchronous Execution: Built the core logic using Python's asyncio for non-blocking, scalable performance.
š Structured Output: Extracted search results dynamically and formatted the output into a user-friendly table of model names and descriptions.
š Toolstack:
Langchain_ollama for LLM-driven task orchestration
Ollama local LLM for offline/private AI use
Key Highlights:
š Automated : Used a custom Agent class with browser emulation to navigate online, execute searches, and interact with tools like a human user.
š§ LangChain + Ollama Integration: Incorporated the ChatOllama wrapper with the lightweight Qwen 1.7B model to drive intelligent task planning and decision-making.
āļø Asynchronous Execution: Built the core logic using Python's asyncio for non-blocking, scalable performance.
š Structured Output: Extracted search results dynamically and formatted the output into a user-friendly table of model names and descriptions.
š Toolstack:
Langchain_ollama for LLM-driven task orchestration
Ollama local LLM for offline/private AI use
AI Algorithms
Large Language Model, Multimodal Large Language ModelAI Applications
AI Content Creation, AI-Enhanced Classification, Conversational AI, Natural Language Understanding, Text RecognitionAI Development Language
PythonAI Tools
Gradio, Hugging Face, StreamlitAI Models
ChatGPT, GPT-4, LLaMAWhat's included $650
These options are included with the project scope.
$650
- Delivery Time 3 days
- Number of Revisions 3
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JC
Jonathan C.
Jan 2, 2026
Experienced NLP Developer for LangChain and Chatbot Development
RP
Raquel Flora P.
Aug 22, 2025
Looking for Python | Fastapi | Ai chatbot backend developer
all are great
AK
Aamir K.
May 27, 2025
Expert needed in OpenAI Realtime API for quick consultation and web development
RB
Rishil B.
Aug 13, 2024
30 minute consultation
About Muhammad
AI Architect | GenAI & AWS Cloud | SaaS & Agentic AI Specialist
100%
Job Success
Islamabad, PakistanĀ - 3:08 pm local time
I help businesses move beyond AI prototypes by designing and deploying secure, scalable, and cost-efficient AI solutions that deliver measurable business impact. My expertise includes AI agent orchestration, Retrieval-Augmented Generation (RAG), multi-model LLM integrations, and cloud-native AI infrastructure.
I work with modern AI frameworks and technologies including LangChain, LangGraph, OpenAI, Claude, Ollama, OpenRouter, FastAPI, Docker, Kubernetes, AWS, and GCP to build reliable systems that scale in real-world production environments.
What I Can Help You Build:
AI Agents & Workflow Automation
Design and deploy intelligent AI agents capable of automating workflows, handling decision-making processes, and improving operational efficiency using LangGraph and advanced LLM orchestration.
Production-Ready RAG Systems
Build scalable Retrieval-Augmented Generation (RAG) pipelines for enterprise chatbots, internal knowledge bases, AI assistants, and semantic search systems with optimized latency, accuracy, and token efficiency.
Voice AI & Conversational Systems
Develop multilingual real-time voice AI applications using Whisper, Text-to-Speech (TTS), streaming pipelines, and conversational AI architectures for seamless human-AI interaction.
Scalable Backend & AI Infrastructure
Create robust backend systems and APIs using FastAPI, Docker, Kubernetes, PostgreSQL, and cloud platforms such as AWS and GCP for secure and high-performance deployments.
Why Clients Choose to Work With Me
āļø Experience working with international startups and AI-driven businesses
āļø Strong focus on production-grade systems, not experimental demos
āļø Expertise in building scalable and cost-optimized AI architectures
āļø Deep understanding of low-latency and high-availability AI systems
āļø Ability to transform AI concepts into reliable enterprise solutions
āļø Strong communication, transparency, and long-term collaboration mindset
Problems I Help Businesses Solve
Many businesses struggle with:
High LLM and infrastructure costs
Slow AI response times
Poor scalability under production workloads
Unstable AI pipelines and unreliable outputs
Difficulty transitioning from prototype to production
I help solve these challenges by building optimized, scalable, and maintainable AI systems designed for long-term growth and ROI.
Why Clients Can Trust Me
I have worked with clients across different industries and regions who are focused on innovation and building impactful AI-driven products. My goal is not just to develop AI systems, but to create reliable solutions that contribute directly to business growth, operational efficiency, and recurring revenue.
I believe in honest communication, long-term partnerships, and delivering production-ready solutions that businesses can depend on confidently.
Letās Build Something Powerful
If you are looking to build:
āļø AI Agents & Autonomous Workflows
āļø RAG-Based Chatbots & Knowledge Systems
āļø Voice AI Applications
āļø AI SaaS Products
āļø Scalable LLM Infrastructure
Letās connect for a quick 10-minute discovery call to discuss your goals, technical requirements, and execution strategy.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
basic requirement gathering