Pongo – 80% Fewer LLM Hallucinations with one LoC

Show HN: Pongo – 80% Fewer LLM Hallucinations with one LoC

Pongo – 80% Fewer LLM Hallucinations with one LoC operates in show hn launch.

Profile

We’re building Pongo, a new retrieval layer that can cut LLM hallucinations by as much as 80% in RAG pipelines. You can see the full benchmarks on our website, where we saw RAG errors/hallucinations fall from ~19% to ~3% after adding Pongo.This has huge implications for AI applications, getting the right answer can be the difference between a user churning and adopting a product. For a 3 step agent, each step having a success rate of 80% compared to 97%, is the difference between a 51% and 92% success rate for the workflow as a whole.Pongo sits at the end of existing retrieval pipeline, whether it’s a vector database or a lexical search engine. You send in your top 100-300 results along with

Within the show hn launch space, the company focuses on its core offering rather than a broad product line.

Its current recorded stage is Show HN launch.

Website: www.joinpongo.com