Community Discussions

Going from a local Haystack script to [deepset](https://saaskart.co/software/deepset) Cloud should be smooth. What changed in your pipeline definitions during t

Once a RAG app ships on [deepset](https://saaskart.co/software/deepset), how do you keep watching quality? Are people sampling responses or collecting user feed

Both target RAG, but [deepset](https://saaskart.co/software/deepset) leans enterprise platform while LlamaIndex leans framework. Which fit your team's build-vs-

Grounding helps but does not eliminate hallucinations. What pipeline patterns in [deepset](https://saaskart.co/software/deepset) most reduced wrong answers for

RAG can call an LLM on every query. How are teams caching, reranking, or shrinking context in [deepset](https://saaskart.co/software/deepset) to keep costs sane

Dense, sparse, or hybrid retrieval all have trade-offs in [deepset](https://saaskart.co/software/deepset). What has given you the best grounding for your docume

Grounding answers means wiring up documents from many systems. Which connectors and ingestion patterns are working well with [deepset](https://saaskart.co/softw

Being EU-based, [deepset](https://saaskart.co/software/deepset) appeals to GDPR-conscious buyers. How has deployment gone for teams with strict data residency n

Measuring whether retrieval actually improves answers is hard. How are people using [deepset](https://saaskart.co/software/deepset) evaluation tools to catch ba

Haystack is free and open source, so what does [deepset](https://saaskart.co/software/deepset) Cloud add for production RAG? For teams that upgraded, was the ev

Fast experiment loops matter. How quickly can you go from a new dataset to a deployed adapter on [Predibase](https://saaskart.co/software/predibase)?

At high volume, per-token API pricing hurts. How did serving a fine-tune on [Predibase](https://saaskart.co/software/predibase) compare on total cost for your w

Small fine-tuned models are great at extraction. How is [Predibase](https://saaskart.co/software/predibase) performing on JSON or entity extraction versus a lar

Fine-tuning means sending training data somewhere. What controls does [Predibase](https://saaskart.co/software/predibase) offer, and are teams using VPC deploym

After fine-tuning on [Predibase](https://saaskart.co/software/predibase), how are you measuring whether the new model is actually better on your real distributi

Llama, Mistral, and others are all options on [Predibase](https://saaskart.co/software/predibase). How are you picking a base model for a given task and budget?

You can fine-tune with raw Hugging Face and PEFT. What did [Predibase](https://saaskart.co/software/predibase) save you versus rolling your own training and ser

The multi-adapter serving in [Predibase](https://saaskart.co/software/predibase) promises big savings. How many adapters are people packing onto one base model

A common blocker is dataset size. For tasks fine-tuned on [Predibase](https://saaskart.co/software/predibase), how many examples did it take to beat a prompted

Prompt engineering a large API model is easy, but [Predibase](https://saaskart.co/software/predibase) argues fine-tuning a small model wins on cost and latency.