
Create a RAG chatbot with OpenAI and Pinecone integration
            Delivery in        
        
            
                3 days            
        
    - Views 42
 
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    What you get with this Offer
        Build a smart AI chatbot using OpenAI GPT and Pinecone vector database with Retrieval-Augmented Generation (RAG)! 
I’ll create a system that retrieves context from your documents and answers user queries intelligently and accurately.
With 8+ years in AI, Python, and vector search development, I provide:
OpenAI GPT integration for natural language understanding
Pinecone vector database setup for semantic search
RAG pipeline implementation for retrieval-augmented responses
LangChain / LlamaIndex integration (if needed)
Secure API setup and deployment on AWS, GCP, or VPS
Custom prompts, context management, and testing
Whether it’s a customer support bot, knowledge base assistant, or AI FAQ system, your chatbot will provide accurate, context-aware, and human-like responses.
I’ll create a system that retrieves context from your documents and answers user queries intelligently and accurately.
With 8+ years in AI, Python, and vector search development, I provide:
OpenAI GPT integration for natural language understanding
Pinecone vector database setup for semantic search
RAG pipeline implementation for retrieval-augmented responses
LangChain / LlamaIndex integration (if needed)
Secure API setup and deployment on AWS, GCP, or VPS
Custom prompts, context management, and testing
Whether it’s a customer support bot, knowledge base assistant, or AI FAQ system, your chatbot will provide accurate, context-aware, and human-like responses.
What the Freelancer needs to start the work
        OpenAI API key and Pinecone account access
Source documents or data for retrieval
Desired chatbot functionality and workflow
Hosting/server details for deployment    
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