Oh. If your existing production stack is already mostly settled, you can safely treat my earlier vLLM comments as just a from-scratch architecture example and skip that part. The more important point is this: if you use raw LLM responses directly, it is hard to keep quality stable at scale. In many cases, the basic pattern is to put a layer between the model output and the published page —…
If you don’t insist on having the LLM complete everything by itself, this may be simpler:
I would treat this less as a “find the perfect generative model” problem and more as a pipeline design problem.
For this kind of description-generation task, I would probably use vLLM as the inference backend, run one or more reputable Hugging Face models behind it, and put…
PostGIS is the geospatial extension for PostgreSQL. It adds geometry and geography data types, hundreds of spatial functions, spatial indexes (GiST, SP-GiST, BRIN), and conformance to the OGC Simple Features standard. PostGIS is the de facto open-source geospatial database, used by mapping platforms, logistics systems, and any application that asks "what is near here".
What it provides
*…
A vector database is a storage system optimised for similarity search over high-dimensional vectors, typically embeddings. Given a query vector, it returns the closest vectors in the corpus using an approximate nearest-neighbour index, alongside any associated metadata.
How it works
Vector databases index embeddings using approximate nearest-neighbour (ANN) algorithms such as HNSW, IVF, ScaNN,…
Quoted from my other post.
Escaping an Anti-Human Future: A Conversation with Tristan Harris
Escaping an Anti-Human Future: A Conversation with Tristan Harris
AI is maybe the worst thing humanity has ever invented
I think a lot of these doomsayers saying AI is going to become the next Skynet are ridiculous. It’s like arguing a hammer wants to hit people. It’s just a tool. If AI is…