Build a LangChain AI Application with RAG and Multi-Step Workflows

Description

We are looking for an experienced AI developer to build a scalable AI application using LangChain. The application should support Retrieval-Augmented Generation (RAG), document processing, multi-step reasoning, and integration with business systems to automate knowledge management and customer interactions. The solution should be production-ready, secure, and capable of handling large document collections with fast and accurate responses.

• Develop an AI application using LangChain.
• Implement Retrieval-Augmented Generation (RAG).
• Integrate vector databases such as Chroma, FAISS, or Pinecone.
• Connect the application with OpenAI or other LLM providers.
• Build REST APIs for frontend and third-party integrations.
• Develop a responsive web interface for users.
• Deploy the application to AWS, Azure, or Google Cloud.

• Complete LangChain AI Application
• RAG-based document search
• Source code with documentation
• Deployment on cloud infrastructure
• API documentation
• 30 days of post-launch support