Advanced AI Agent Development using LangChain & LangGraphDaniel Afaqi
I build custom AI agents powered by LangChain and LangGraph, tailored to automate workflows, integrate with your data sources, and deliver reliable, intelligent interactions. What makes my work unique is a focus on production-ready design—from scalable architecture and seamless API integrations to clear documentation and training—so you get not just an AI prototype, but a fully deployable solution that drives real business value.
What's included
Requirements & Use-Case Analysis Report
Document outlining business needs, workflows, and how AI agents will fit in.
System Architecture & Design
1. High-level architecture diagram showing LangChain, LangGraph, APIs, databases, and integrations.
2. Technical documentation explaining the design choices.
All other delieverables
Custom AI Agent(s)
- Configured AI agents built with LangChain & LangGraph.
- Includes logic graphs (LangGraph workflows), memory management, and tool integrations.
Knowledge Base Integration
- Ingestion pipelines for client documents, databases, or APIs.
- Vector database setup for semantic search (e.g., Pinecone, Weaviate, or FAISS).
Tool & API Integrations
- Connectors to external services (CRM, Slack, email, databases, etc.).
- Custom tools wrapped for the agent (e.g., calculators, data fetchers).
Conversation Interface / UI
- Chat interface (web app, Slack bot, or internal dashboard).
- APIs for third-party system integration.
Agent Control & Orchestration
- Multi-agent collaboration setup if needed (e.g., one agent for data retrieval, another for reasoning).
- Error handling and fallback strategies.
Testing & Validation
- Test cases covering workflows, accuracy, and reliability.
- Performance benchmarks (response times, cost tracking, etc.).
Deployment & Hosting
- Production-ready deployment on client’s infrastructure (AWS, GCP, Azure, or Vercel).
- CI/CD pipeline for updates and scaling.
Documentation & Training
- User manual for non-technical team members.
- Developer documentation for future maintenance.
- Training session(s) with client’s team.
Post-Delivery Support (optional)
- Bug fixes for a defined period.
- Ongoing optimization and fine-tuning.
Daniel's other services
Starting at$60 /hr
Tags
LangChain
TypeScript
AI Engineer
Fullstack Engineer
Service provided by
Daniel Afaqi maxIslamabad, Pakistan
- $10k+
- Earned
- 4
- Paid projects
- 5.00
- Rating
- 77
- Followers
Advanced AI Agent Development using LangChain & LangGraphDaniel Afaqi
I build custom AI agents powered by LangChain and LangGraph, tailored to automate workflows, integrate with your data sources, and deliver reliable, intelligent interactions. What makes my work unique is a focus on production-ready design—from scalable architecture and seamless API integrations to clear documentation and training—so you get not just an AI prototype, but a fully deployable solution that drives real business value.
What's included
Requirements & Use-Case Analysis Report
Document outlining business needs, workflows, and how AI agents will fit in.
System Architecture & Design
1. High-level architecture diagram showing LangChain, LangGraph, APIs, databases, and integrations.
2. Technical documentation explaining the design choices.
All other delieverables
Custom AI Agent(s)
- Configured AI agents built with LangChain & LangGraph.
- Includes logic graphs (LangGraph workflows), memory management, and tool integrations.
Knowledge Base Integration
- Ingestion pipelines for client documents, databases, or APIs.
- Vector database setup for semantic search (e.g., Pinecone, Weaviate, or FAISS).
Tool & API Integrations
- Connectors to external services (CRM, Slack, email, databases, etc.).
- Custom tools wrapped for the agent (e.g., calculators, data fetchers).
Conversation Interface / UI
- Chat interface (web app, Slack bot, or internal dashboard).
- APIs for third-party system integration.
Agent Control & Orchestration
- Multi-agent collaboration setup if needed (e.g., one agent for data retrieval, another for reasoning).
- Error handling and fallback strategies.
Testing & Validation
- Test cases covering workflows, accuracy, and reliability.
- Performance benchmarks (response times, cost tracking, etc.).
Deployment & Hosting
- Production-ready deployment on client’s infrastructure (AWS, GCP, Azure, or Vercel).
- CI/CD pipeline for updates and scaling.
Documentation & Training
- User manual for non-technical team members.
- Developer documentation for future maintenance.
- Training session(s) with client’s team.
Post-Delivery Support (optional)
- Bug fixes for a defined period.
- Ongoing optimization and fine-tuning.
Daniel's other services
$60 /hr