Postgres as a search engine — any blockers?
anyblockers.com
Postgres as a search engine — any blockers?
Appending Reddit to every query would not work for the majority of searches, however, it works very well on certain types of queries. There is a tendency, for myself included, to understate the large number of use-cases a search engine covers, and it has to cover them all.
Dmitri Brereton (dkb) • Interview with Brave Search
Due to the nature of the most modern ANN vector search algorithms, incrementally updating a vector index is a massive challenge. This is a well known “hard problem”. The issue here is that these indexes are carefully organized for fast lookups and any attempt to incrementally update them with new vectors will rapidly deteriorate the fast lookup pro... See more
6 Hard Problems Scaling Vector Search
latest research on text embeddings!
TLDR: Vector databases are NOT safe. Text embeddings can be inverted. We can do this exactly for sentence-length inputs and get very close with paragraphs...
TLDR: Vector databases are NOT safe. Text embeddings can be inverted. We can do this exactly for sentence-length inputs and get very close with paragraphs...
jack morris • Tweet
Vector databases can be used to store and serve machine learning models and their corresponding embeddings. The primary application is similarity search (also semantic search),
Ben Auffarth • Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
