RAG & Knowledge Bases Freelance Jobs
RAG (Retrieval Augmented Generation) jobs involve building systems that combine LLMs with document retrieval to answer questions from private data. Freelancers build embedding pipelines, vector stores, retrieval chains, and interfaces that let businesses query their own documents, wikis, and databases using natural language.
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Latest RAG & Knowledge Bases Jobs
Looking for a full-stack AI engineer to build and ...
View Details →We need to build a POC agent (using Make, n8n, or ...
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Appian is seeking a Senior Consultant to join thei...
View Details →What are RAG & Knowledge Bases jobs?
RAG (Retrieval Augmented Generation) jobs involve building systems that combine LLMs with document retrieval to answer questions from private data. Freelancers build embedding pipelines, vector stores, retrieval chains, and interfaces that let businesses query their own documents, wikis, and databases using natural language.
How much do RAG & Knowledge Bases freelancers charge?
RAG system freelancers typically charge $80-200/hour or $3,000-15,000 per project. Basic document Q&A systems start around $3,000, while production-grade RAG with hybrid search, reranking, and evaluation frameworks reach $15,000+.
Where to find RAG & Knowledge Bases freelance work?
RAG and knowledge base freelance work is available on Upwork, Skool communities, LinkedIn, and Indeed. DevSnipe monitors all platforms and delivers matching RAG jobs to your inbox.
