LangChain and Haystack both provide robust frameworks for building AI agents, with LangChain having 131,755 GitHub stars and 2,054,811 npm downloads per week compared to Haystack's 24,827 GitHub stars. LangChain is praised for its integrated multi-agent systems, while Haystack excels in handling large context windows and Hugging Face integration.
Best for
Haystack is the better choice when projects require large context handling and seamless Hugging Face model integrations, particularly for enterprises needing secure, scalable solutions.
Best for
LangChain is the better choice when developing complex, enterprise-scale projects where multi-agent systems and iterative improvement in production are crucial.
Key Differences
Verdict
Engineering teams with a focus on deploying scalable, multi-agent AI systems should consider LangChain for its extensive integrations and open-source frameworks. Meanwhile, teams focused on large-context AI applications with a need for Hugging Face integration might find Haystack more aligned with their needs. Both tools provide robust pipelines, but choice depends on specific use case requirements and scaling needs.
Haystack
Build custom AI agents and RAG applications with smart context engineering, powered by open AI orchestration.
Haystack is highly rated by users, frequently receiving perfect scores for its functionality and ease of use, as seen in reviews from g2. Its main strengths include the ability to handle large context windows and seamless integration with HuggingFace models. There appear to be few complaints, though some mention occasional output quirks with fixed-size token chunking. Pricing sentiment isn't explicitly mentioned, but the predominant high ratings suggest users find it valuable, supporting its overall reputation as a reliable and effective software tool.
LangChain
LangChain provides the engineering platform and open source frameworks developers use to build, test, and deploy reliable AI agents.
LangChain is highly praised for its capability in building and managing AI agents, evidenced by its consistent top ratings on G2, often scoring 4.5 to 5 out of 5. Users appreciate its robust functionality but note potential issues with observability and data management when deploying in production environments. The pricing sentiment is not directly addressed in the user reviews or mentions, implying that pricing may not be a major concern for users. Overall, LangChain holds a solid reputation among AI developers, although there are some concerns about AI agents potentially causing data management issues without proper oversight.
Haystack
Stable week-over-weekLangChain
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Pricing found: $0 / seat, $39 / seat, $39, $0.005 / deployment, $0.0007 / min
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Only in Haystack (10)
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Shared (1)
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Haystack
What do you like best about Insites?I like the customizability and support from the Insites team the most. They provide live support at all times, and if anything doesn't scan correctly for a report, they investigate and address it immediately. The engineering and product roadmap team is great, constantly releasing new scans based on customer feedback. My favorite is the ChatGPT scan for small businesses, which shows their AI optimization status. The reports are designed well, making it easy for both prospects and sellers to understand the takeaways at a glance. Their integration with tools like Salesforce, Duda Website, and APIs are top-notch. Our sales team loves it because it takes a 10-20 minute research phase and distills it into a single robust report, making our sales reps appear as experts faster. Review collected by and hosted on G2.com.What do you dislike about Insites?I don't want to emphasize this in my review because it's nothing but positive marks from me, but they could make their white labeling settings a little more centralized and easy to set up. We needed a lot of support to get the white label settings fully completed because there are so many of them in different places in the platform. This is very minor and only a factor for a large organization such as ours. Review collected by and hosted on G2.com.
What do you like best about Insites?I like that Insites is really helpful for initial sales scans, SEO optimizations, and reporting. It allows me to show off our product versus competitors during the sales phase and quickly resolve issues for clients during the service phase. I love their fantastic team, who are always available to ensure the tool is as effective as possible. The depth of the scans is very helpful, and the integrations with other platforms make resolving issues stress-free. Setting it up was very simple, and they helped tailor it to fit our exact needs. Review collected by and hosted on G2.com.What do you dislike about Insites?N/A Review collected by and hosted on G2.com.
What do you like best about Insites?The interface is extremely user-friendly. Great sales tool and even better in fulfillment/account management. Review collected by and hosted on G2.com.What do you dislike about Insites?We love Insites and probably wouldn't change anything about it! It would be great if there were a social media auditing tool as well. Review collected by and hosted on G2.com.
LangChain
What do you like best about Langchain?Out of the box features that it provides to manage and monitor llm based applications Review collected by and hosted on G2.com.What do you dislike about Langchain?Nothing in general, folks with no experience can get lost in the myriads of features it offers Review collected by and hosted on G2.com.
What do you like best about Langchain?This framework is useful for building generative AI applications, especially when you need to utilize large language models, vector databases, retrieval mechanisms, and track the entire execution process. Review collected by and hosted on G2.com.What do you dislike about Langchain?Nothing, it has only evolved to enable developers like us to develop robust applications Review collected by and hosted on G2.com.
What do you like best about Langchain?The platform is easy to use, even if you only have a basic understanding of AI concepts. I found that navigating the features didn't require advanced technical knowledge, which made the experience straightforward and accessible. Review collected by and hosted on G2.com.What do you dislike about Langchain?Sometimes, other frameworks appear to be simpler. Review collected by and hosted on G2.com.
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Ask HN: How are you monitoring AI agents in production?
With the recent incidents (DataTalks database wipe by Claude Code, Replit agent deleting data during code freeze), it's clear that running AI agents in production without observability is risky.<p>Common failure modes I've seen: no visibility into what the agent did step-by-step, surprise
Shared (3)
Only in LangChain (2)
LangChain is better for multi-agent systems in production, while Haystack is ideal for applications requiring large context window management.
LangChain offers a more complex pricing model including usage-based and per-seat options, whereas Haystack uses a tiered structure based on company size.
LangChain has more extensive community support as evidenced by its considerably higher number of GitHub stars and npm downloads.
Yes, both tools can be integrated to complement each other's strengths, such as using LangChain's agent systems with Haystack's context handling.
Haystack may offer a smoother startup experience due to its templates and visual pipeline design, but LangChain offers a free tier to help teams explore its capabilities.
