Self-hosting [Haystack](https://saaskart.co/software/haystack) is free but you own operations. What made teams switch to deepset Cloud, and what did they gain?
The jump to [Haystack](https://saaskart.co/software/haystack) 2.x is significant. For those who migrated, how much rework did the new pipeline API require?
The agent and tool support in [Haystack](https://saaskart.co/software/haystack) keeps growing. How reliable is it for multi-step tasks compared to dedicated age
Prototyping in [Haystack](https://saaskart.co/software/haystack) is easy; production is harder. How are you serving pipelines, handling scaling, and monitoring
How are people measuring the quality of a [Haystack](https://saaskart.co/software/haystack) pipeline end to end? Any evaluation components or external harnesses
Adding a reranker component in [Haystack](https://saaskart.co/software/haystack) can sharply improve context quality. What rerankers are working well for you?
Running fully open source with [Haystack](https://saaskart.co/software/haystack) plus a self-hosted model is appealing for privacy. How does answer quality comp
[Haystack](https://saaskart.co/software/haystack) supports many document stores. Which one gave you the best balance of speed and cost for a mid-size corpus?
The pipeline model in [Haystack](https://saaskart.co/software/haystack) 2.x changed a lot. How are people structuring branching and looping pipelines cleanly no
Both are strong RAG frameworks. [Haystack](https://saaskart.co/software/haystack) emphasizes composable pipelines. For your project, which gave cleaner code and
The TS version of [LlamaIndex](https://saaskart.co/software/llamaindex) is newer than Python. How mature is it for production Node apps, and what features lag b
Documents change constantly. What ingestion and re-indexing patterns keep a [LlamaIndex](https://saaskart.co/software/llamaindex) knowledge base up to date with
Many apps mix databases and documents. How are you using [LlamaIndex](https://saaskart.co/software/llamaindex) to query both SQL and text sources in one workflo
How are people measuring whether their [LlamaIndex](https://saaskart.co/software/llamaindex) retriever is returning the right context? Any evaluation harnesses
At some point self-hosting indexing gets old. What pushed teams to adopt LlamaCloud for [LlamaIndex](https://saaskart.co/software/llamaindex), and was the migra
Beyond RAG, [LlamaIndex](https://saaskart.co/software/llamaindex) has agent tooling. How reliable are its agents for multi-step tasks compared to other framewor
[LlamaIndex](https://saaskart.co/software/llamaindex) supports many vector databases. How did you pick between Qdrant, Weaviate, Chroma, and Pinecone for your w
Chunk size and overlap make or break RAG. What chunking settings in [LlamaIndex](https://saaskart.co/software/llamaindex) gave you the best answer quality?
Complex PDFs wreck naive chunking. Has LlamaParse in [LlamaIndex](https://saaskart.co/software/llamaindex) actually improved retrieval quality on tables and mul
People constantly compare the two. [LlamaIndex](https://saaskart.co/software/llamaindex) leans data and retrieval; LangChain leans orchestration. Where did each
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