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Haystack: Open-Source AI Framework for Production Ready Agents, RAG

haystack.deepset.ai

21–28 of 28 posts

Re: Haystack: Open-Source AI Framework for Production Ready Agents, RAG

#21
post #15

People who name projects, please think very carefully if you want to use "Haystack" as the name of anything. There are literally thousands upon thousands of both overlapping and completely different products, projects, bands, initiatives, efforts, and so on with that name and all the possible variants you can think of (Haystax, Heystack, Heystax, Hay Stak, and so on). And no, you probably won't be the first project w…

- this is what happens when you dont know how SEO works and how to brand

- could have used a unique name like agistack or llmax or supagpt or something like this

- that way you get to redirect all traffic to your website 100%

Re: Haystack: Open-Source AI Framework for Production Ready Agents, RAG

#24

its good that there is a competition in framework space, but does anyone have holistic view or opinions about their differences and where they shine? For example, * there is LangChain and LangGraph - used a lot, but framework bloat is hated as well * mastra - for typescript projects * pydantic, agno, strands, openai agents sdk, claude agents sdk, and so on and on and on

They all have one thing in common, the fact they suck. You don't need an "AI framework"

Re: Haystack: Open-Source AI Framework for Production Ready Agents, RAG

#26

its good that there is a competition in framework space, but does anyone have holistic view or opinions about their differences and where they shine? For example, * there is LangChain and LangGraph - used a lot, but framework bloat is hated as well * mastra - for typescript projects * pydantic, agno, strands, openai agents sdk, claude agents sdk, and so on and on and on

One project I’d add to the comparison is raghilda from Posit:

https://posit-dev.github.io/raghilda/

raghilda is deliberately narrower than LangGraph/Haystack/etc. It focuses on the RAG parts: document ingestion, chunking, embedding, storage, and retrieval. It’s meant to leave the pieces visible and replaceable rather than wrap the whole application in a framework.

It also composes well with the other parts of the Posit ecosystem: chatlas for LLM interaction, and Shiny for building interactive apps around the result.

My bias is that orchestration is often better hand-rolled for the specific application. Once the framework gets too far removed from the actual steps, it tends to bring in a lot of complexity you probably don’t need. In the end, most of these pieces are not that complicated.

Disclosure: I’m one of the authors of raghilda.

Re: Haystack: Open-Source AI Framework for Production Ready Agents, RAG

#28
Observability keeps coming up in this thread, and it's the part I never think about until I'm debugging something an agent did at 2am. Claude Code specifically. Adoption is the easy part, I love thinking how I have 10x'd everything, but figuring out what it actually shipped to prod last Tuesday when something broke sucks Anyone solved this without going full framework or rebuilding everything from scratch?
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