Why is my RAG system giving wrong answers?

Almost always retrieval, not the model. Wrong chunk size, missing metadata filters, or embedding the wrong text. I measure retrieval quality separately from answer quality so the fix goes to the right place.

AI and machine learning

Vector databases

Pinecone and pgvector for retrieval-augmented generation, chosen by scale rather than habit.

How I use it

OGE uses Pinecone with LangChain for its retrieval layer. For most projects I start with pgvector inside PostgreSQL and move to a managed vector database only when the collection or query volume needs it. The retrieval quality, chunking and metadata filters matter more than which store you pick.

Offered through

Generative AI

Shipped with Vector databases

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OGE (Operational Gaming Environment)

Game-based learning platform for professors and students with AI-guided scenarios and real-time collaboration

Questions clients ask about Vector databases

Why is my RAG system giving wrong answers?: Almost always retrieval, not the model. Wrong chunk size, missing metadata filters, or embedding the wrong text. I measure retrieval quality separately from answer quality so the fix goes to the right place.

Work with me

Need Vector databases work done?

I work remotely with clients across the US, Canada, the UK, the UAE, Brazil and Australia. Tell me what you are building and I will reply with questions, a plan and an estimate.

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