uripeled2

9 ms·

1. 1.▲
   by uripeled2 9mo ago

   Vector databases are powerful tools, but I’ve noticed a common pattern: as soon as a team decides to use embeddings for similarity search, a vector DB often gets added as the “default next step” — before stopping to ask whether the workload
2. 2.▲
   LLM-Client – Python library for seamless integration with LLMs(github.com)

   1 points by uripeled2 3y ago|1 comments
3. 3.▲
   by uripeled2 3y ago

   Our vision is to provide async native and production ready SDK while creating a powerful and fast integration with different LLM without letting the user lose any flexibility (API params, endpoints etc.)
4. 4.▲
   by uripeled2 3y ago

   Take a look at llm-client a similar library that also support chat, async and more llm providers https://github.com/uripeled2/llm-client-sdk