I built processImages to automate it.
β’ Bulk transformations
β’ Meme generation
β’ Image pipelines in Node.js
If you're handling content at scale, this removes hours of repetitive work.
What part of your workflow is still manual?
#NodeJS#Automation
Built a full RAG app for βΉ0 π
Chat with your PDFs, get source-backed answers & run it fully on your laptop (private no API cost).
UI demo below π
rag-t.netlify.app/
Want this setup? DM βRAGβ
#AI#RAG#Ollama
Built a simple RAG app using PDFs Ollama. It retrieves relevant chunks from docs to generate accurate, source-backed answers. Tested with Next.js docs & history content. Making AI more reliable and contextual. Thoughts?
#RAG#AI#LLM#Ollama#GenAI#BuildInPublic
That bug that took days to find, only to be a single character or a cached value? We all have 'em. Share your most absurd debugging horror stories! What was the most unexpected culprit you uncovered? #Debugging#DevLife#CodeNightmares
Imposter syndrome: the silent struggle in software dev. Even the best feel like fakers sometimes. It's real, it's common. Let's acknowledge it, support each other, and remember our value. You're more capable than you think. #ImposterSyndrome#DevLife#Tech
Vector databases power semantic search at scale. But achieving this often relies on Approximate Nearest Neighbor (ANN) algorithms. This introduces a key challenge: balancing accuracy vs. latency vs. storage. It's a fundamental trade-off in high-performance search systems! #V
Legacy code isn't just old; it's a puzzle wrapped in an enigma, often dictating future innovation. Mastering its quirks is essential for any developer. What's your go-to strategy for tackling a monstrous monolith? #LegacyCode#DevChallenges#SoftwareDev#Tech
Vector DBs are essential for potent RAG! π They fuel precise context retrieval, leading to more accurate & reliable LLM responses. A game-changer for enterprise AI & reducing hallucinations. #RAG#VectorDB#LLMs#AI#Tech