I will build langgraph llamaindex openai agents api zep mcp integrations qdrant crewai


About this gig
I build and integrate AI agents with the tools, data, and workflows they need to actually work from LangGraph and CrewAI systems to MCP integrations, RAG/LlamaIndex pipelines, API connected agents, databases, and n8n automation.
What I build:
- AI Agents & Autonomous Agents
- Multi-Agent Systems
- LangGraph Agent Workflows
- CrewAI Multi-Agent Systems
- OpenAI Agents & AI Assistants
- MCP Servers & Tool Integrations
- RAG Chatbots & Knowledge Bases
- LlamaIndex RAG Systems
- AI Customer Support Agents
- AI Sales & Lead Qualification Agents
- AI Research Agents
- AI Receptionist & Booking Agents
- AI Workflow Automation
- n8n AI Automations
- API & Third-Party Integrations
- Database & Vector Database Integration
- AI Document Processing
- AI Website & Internal Knowledge Assistants
- Tool Calling & Function Calling
- AI CRM & Business Automation
- AI Agent Memory & Context Systems
- AI Agent Testing & Evaluation
- AI Deployment & Documentation
Got a system in mind? Tell me what you want the AI to do, what it needs to connect to, and Ill map out the build.
Get to know FAVOURITE DEV
Web Developer
- FromUnited States
- Member sinceAug 2026
- Avg. response time1 hour
Languages
English, German, Swedish, Thai, Estonian, Spanish, French, Italian
FAQ
What type of AI agents can you build?
I build AI agents, autonomous agents, AI assistants, multi-agent systems, customer support agents, research agents, sales agents, lead qualification agents, RAG agents, knowledge-base assistants, and AI workflow automation systems.
Which AI frameworks and tools do you work with?
I work with LangGraph, LangChain, CrewAI, LlamaIndex, MCP, OpenAI Agents SDK, Google ADK, n8n, Dify, and related AI agent frameworks for building and connecting intelligent workflows.
Can you connect my AI agent to APIs, databases, or external tools?
Yes. I can connect AI agents to REST APIs, third-party platforms, databases, vector databases, CRMs, websites, internal tools, webhooks, and MCP servers so your agent can retrieve data and perform actions.
Can you build a RAG or knowledge-base AI chatbot?
Yes. I can build RAG systems and AI knowledge assistants using LlamaIndex, LangChain, embeddings, vector databases, document processing, retrieval pipelines, and conversational AI so your agent can work with your own documents and data.
Which AI models can you integrate?
I can integrate OpenAI/ChatGPT, Claude, Gemini, Meta Llama, Mistral, Azure OpenAI, AWS Bedrock, and other LLM providers depending on your project's requirements, architecture, and existing infrastructure.

