Phoenix - Your AI AssistantIntegrate MCP and build a RAG pipeline via API
Delivery in
5 days
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What you get with this Offer
For AI systems that need to do more than generate text actually retrieve your real data and take real actions — this offer combines two pieces: an MCP (Model Context Protocol) integration that lets an LLM call your actual tools and APIs, and a RAG pipeline so it retrieves accurate information from your own documents or data before responding.
Together, these are what separate a chatbot that sounds plausible from one that's actually useful in production: it knows your real data instead of guessing, and it can take real actions instead of just describing what someone else should do.
What's included:
MCP server/tool integration so the LLM can call your APIs directly
RAG pipeline: document ingestion, retrieval, and generation
API integrations connecting both pieces to your systems
Error handling and structured outputs
Documentation
1 round of revisions
Together, these are what separate a chatbot that sounds plausible from one that's actually useful in production: it knows your real data instead of guessing, and it can take real actions instead of just describing what someone else should do.
What's included:
MCP server/tool integration so the LLM can call your APIs directly
RAG pipeline: document ingestion, retrieval, and generation
API integrations connecting both pieces to your systems
Error handling and structured outputs
Documentation
1 round of revisions
What the Freelancer needs to start the work
What data should the RAG pipeline retrieve from?
What actions/tools should the LLM be able to call via MCP?
Do you have API access to the relevant data sources and systems?