Your custom solution will ground LLM responses on your private data (PDF, DOCX, TXT, web pages, API outputs), reduce hallucinations, and support autonomous task execution via agent tool‑calling. Whether you need a document Q&A assistant, research‑focused agent, multi‑step workflow automation, or multi‑agent collaboration system, all logic and functions can be adjusted to match your requirements.
What I can implement for you
✅ Custom RAG pipeline: document ingestion, semantic search, vector database integration, source citation, hallucination mitigation
✅ LangGraph AI Agent: reasoning loop, tool calling, memory management, multi‑node workflow, multi‑agent coordination
✅ Support various LLMs: OpenAI, DeepSeek, Claude, Gemini and open‑source local models
✅ Deliver working source code, deployment guide, and simple web/API interface
✅ Fully customizable: adjust prompt logic, data source, agent behavior, business rules according to your demands
‼️ Note: This service delivers application‑level development. It does NOT include third‑party costs such as LLM API keys or cloud server resources.