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Write an articleA RAG (retrieval-augmented generation) developer builds AI that answers from your own documents and databases, with sources, instead of guessing. Hire one through DevSocial to turn manuals, wikis, tickets and contracts into an accurate assistant.
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Describe who you need, in your own words. We turn it into a short brief you can check.
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The role, the skills, the seniority, how long and how you want to work.
Developers whose experience fits, with their background and work you can look at.
Meet them, test them and ask anything. You decide.
Full time, part time, contract or project; remote or on site.
Retrieval-augmented generation: before answering, the system searches your own content, passes the most relevant passages to the language model, and the model answers from them, with citations.
Usually poor chunking, weak search, missing re-ranking or no evaluation. A RAG developer measures retrieval separately from answering and fixes the weakest step first.
Use what fits your stack: Azure AI Search on Azure, pgvector if you already run PostgreSQL, or a managed service such as Pinecone or Qdrant for scale.
Tell us what you need. We review it with you, put forward developers whose experience fits, you interview them, and you decide. You can hire full time, part time, on contract or for a project, remote or on site.
It depends on the role, seniority, length and how you engage. Tell us what you need and we will come back with options. There is no charge to talk.
DevSocial is where developers learn, write and share. Its members' work is public: what they have written and answered, their rank and their skills, so you can see how someone thinks before you meet them.
Tell us the role and the skills. There is no charge to talk.
Tell us what you need