Yep, we have our own implementations! We've spent a lot of time on them, and in our internal benchmarks they compare pretty favorable to the native versions.
RAG specifically is our speciality - we've done a ton of optimizations there (hybrid search, document age-based weighting, giving the LLM the ability to read more from interesting docs and less of irrelevant docs, etc.) and we outperform the implementation within ChatGPT quite substantially in internal blind testing.
Curious what you find if you compare them head to head though!
RAG specifically is our speciality - we've done a ton of optimizations there (hybrid search, document age-based weighting, giving the LLM the ability to read more from interesting docs and less of irrelevant docs, etc.) and we outperform the implementation within ChatGPT quite substantially in internal blind testing.
Curious what you find if you compare them head to head though!