You will get expert RAG, vector search & relevance troubleshooting
Project details
Most "AI developers" can wire up a RAG demo. Very few can tell you why yours returns the wrong answers — and fewer still can fix it. This consultation puts two decades of search and retrieval architecture directly on your problem.
In 30 minutes I'll diagnose what's actually breaking your retrieval — chunking, embeddings, reranking, hybrid search, index and query design, document-level security, or cost — across RAG pipelines, semantic/vector search, and Elasticsearch/OpenSearch.
Book this if:
• your RAG response returns vague, incomplete, or hallucinated answers
• search surfaces the wrong results, or misses the obvious ones
• you're choosing a vector DB (Qdrant, pgvector, OpenSearch) and don't want to get it wrong
• you want a senior second opinion before you build or spend more
You'll walk away with the likely root cause, 2–3 concrete next steps, and an honest build-vs-fix recommendation — plus a short written recap. No slides, no forced upsell: we spend the time on your system.
Search is what I do — not a sideline I picked up last year.
Elasticsearch · OpenSearch · Qdrant · RAG · vector & semantic search · retrieval & relevance tuning
In 30 minutes I'll diagnose what's actually breaking your retrieval — chunking, embeddings, reranking, hybrid search, index and query design, document-level security, or cost — across RAG pipelines, semantic/vector search, and Elasticsearch/OpenSearch.
Book this if:
• your RAG response returns vague, incomplete, or hallucinated answers
• search surfaces the wrong results, or misses the obvious ones
• you're choosing a vector DB (Qdrant, pgvector, OpenSearch) and don't want to get it wrong
• you want a senior second opinion before you build or spend more
You'll walk away with the likely root cause, 2–3 concrete next steps, and an honest build-vs-fix recommendation — plus a short written recap. No slides, no forced upsell: we spend the time on your system.
Search is what I do — not a sideline I picked up last year.
Elasticsearch · OpenSearch · Qdrant · RAG · vector & semantic search · retrieval & relevance tuning
AI Algorithms
Autoencoder, Feedforward Neural Network, Large Language Model, Long Short-Term Memory Network, Multilayer Perceptron, Multimodal Large Language Model, Recurrent Neural Network, Transformer Model, Variational AutoencoderAI Applications
AI Chatbot, AI-Enhanced Classification, AIOps, Anomaly Detection, Conversational AI, Natural Language Generation, Natural Language Understanding, Sentiment Analysis, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Gradio, Hugging Face, NVIDIA AI Platform, PyTorch, Streamlit, TensorFlow, Word2vecAI Models
BERT, ChatGPT, GPT-3, GPT-4, GPT-Neo, LLaMAWhat's included $200
These options are included with the project scope.
$200
- Delivery Time 2 days
- Number of Revisions 0
Frequently asked questions
About Michael
Elasticsearch / OpenSearch Expert
Chicago, United States - 6:05 pm local time
I have worked on over 300 search related projects for clients such as: Molex, Volkswagen, NYL, and Toronto Police Service. I am skilled in technologies such as Elasticsearch/OpenSearch, Lucidworks Fusion, Coveo, Java, JavaScript/NodeJS, Haystack, Dify, LLMs, PyTorch.
I am also recognized as a Coveo MVP and have a keen interest in Relevancy Engineering.
Steps for completing your project
After purchasing the project, send requirements so Michael can start the project.
Delivery time starts when Michael receives requirements from you.
Michael works on your project following the steps below.
Revisions may occur after the delivery date.
Book & share your context
After you book, I send 4 quick questions about your stack, data, and the specific problem you're seeing.
Pre-call review
I review your answers before we meet so we skip the basics and spend all 30 minutes on your actual issue.