Project Summary

We're AutoMotion Mobility GmbH, a smart mobility tech company, and we need an expert to help integrate a RAG (Retrieval Augmented Generation) system using LangChain with our existing internal documentation.

Detailed Requirements

I need an expert to set up a LangChain-based RAG pipeline to query our internal knowledge base (e.g., PDFs, Confluence pages). The goal is to allow our team to ask questions and get accurate, context-aware answers from our documents. Experience with various vector stores and LLM integrations is key. Please reach out so we can discuss the specifics of our data sources and target LLM.

Deliverables

A functional LangChain RAG prototype connected to a representative sample of our documentation. Clear instructions on how to expand and deploy the solution.

Timeline & Budget

• Expected Timeline: 1 Week

• Budget Range: $150 - $350