AI and ML build: RAG, agents, or vision by Haris UmerAI and ML build: RAG, agents, or vision by Haris Umer
AI and ML build: RAG, agents, or visionHaris Umer
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One week on one AI problem, with an honest answer at the end about whether it works. Pick one: a RAG chatbot over your documents with citations, an LLM agent that can only call tools you approve, or a vision model trained on your images. Proof: production embeddings in Postgres and PGVector at CoalDev. Django and Qdrant file retrieval on Sortsy. A Gemini intake assistant restricted to a fixed tool list (github.com/HarisUmer/llm-intake-chatbot). A YOLOv8 detector for cable and wire faults in outdoor photos, mAP50 0.888 on cable. Not included: training a foundation model, or a promise that a model will hit a number before I have seen your data. $500 to start, and you get the eval numbers, not just a demo.
Starting at$500
Duration1 week
Tags
Python
Service provided by
Haris Umer Lahore, Pakistan
1
Followers
AI and ML build: RAG, agents, or visionHaris Umer
Starting at$500
Duration1 week
Tags
Python
Cover image for AI and ML build: RAG, agents, or vision
One week on one AI problem, with an honest answer at the end about whether it works. Pick one: a RAG chatbot over your documents with citations, an LLM agent that can only call tools you approve, or a vision model trained on your images. Proof: production embeddings in Postgres and PGVector at CoalDev. Django and Qdrant file retrieval on Sortsy. A Gemini intake assistant restricted to a fixed tool list (github.com/HarisUmer/llm-intake-chatbot). A YOLOv8 detector for cable and wire faults in outdoor photos, mAP50 0.888 on cable. Not included: training a foundation model, or a promise that a model will hit a number before I have seen your data. $500 to start, and you get the eval numbers, not just a demo.
$500