Machine Learning · head to head
LangChain vs Milvus

LangChain
Machine Learning
Build applications with LLMs through composability
- From
- Free
- Rated
- -

Milvus
Machine Learning
Open-source vector database for scalable similarity search
- From
- Free
- Rated
- -
The short version
- Each has a real cost: LangChain the free Developer plan of LangSmith is limited to 1 seat; Milvus vector dimensions are capped at 32,768
- They diverge on capability: LangChain covers Chains and agents, Milvus covers Billion-scale vectors.
Where they differ
Only the attributes on which LangChain and Milvus actually diverge.
Identical on both: starting price (Free), pricing model (freemium), free tier (Yes), user rating (Not yet rated), category (Machine Learning).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in LangChain
- Chains and agents
- Retrieval-augmented generation
- Memory management
- Tool integration
- Prompt templates
- OpenAI
- Anthropic
- Pinecone
Only in Milvus
- Billion-scale vectors
- Multiple index types
- GPU acceleration
- Hybrid search
- Data partitioning
- PyTorch
- TensorFlow
- LangChain
Both cover
- Hugging Face
- Linux support
- Mac support
- Windows support
What people use each for
The jobs each tool is most often brought in to do.
LangChain
- Building LLM applications and agents in Python or JavaScriptnot Milvus
- Tracing and debugging LLM chains and agent runsnot Milvus
- Evaluating prompt and model changes against datasetsnot Milvus
Milvus
- Self hosting a vector database for semantic searchnot LangChain
- Storing and querying embeddings for retrieval augmented generationnot LangChain
- Similarity search over images, audio or text at scalenot LangChain
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
LangChain
- The free Developer plan of LangSmith is limited to 1 seat
- Base traces are retained for 14 days only; 400 day retention costs extra
- Included traces are capped at 5,000 per month on Developer and 10,000 per month on Plus, with everything beyond billed pay as you go
- Self hosted and hybrid deployment of LangSmith is Enterprise only
- Custom SSO, RBAC and ABAC are Enterprise only
- A support SLA is Enterprise only
- Enterprise pricing is by quote with no published rate
Milvus
- Vector dimensions are capped at 32,768
- A collection is limited to 64 fields, 1,024 partitions and 16 shards
- Only 1 index is allowed per field
- Search returns at most 16,384 vectors as top-k, and nq is capped at 16,384
- Input and output per RPC is capped at 64 MB for insert, search and query
- VARCHAR values are limited to 65,535 characters
- Data loaded into query nodes cannot exceed 90% of available memory
- An instance supports at most 65,536 collections
Pricing, plan by plan
LangChain
Free- Open SourceFree
- Full framework
- Community support
- LangSmith$39/month
- Debugging
- Monitoring
- Testing
Milvus
Free- Open SourceFree
- Full features
- Self-hosted
- Community support
- Zilliz CloudFree
- Managed service
- Free tier available
Which should you pick?
Choose LangChain if
- You need chains and agents.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want retrieval-augmented generation.
Choose Milvus if
- You need billion-scale vectors.
- You want to start without paying.
- You work on Linux, Mac, Windows, Web.
- You also want multiple index types.
Questions people ask
- Is LangChain or Milvus better?
- Neither clearly leads. LangChain starts at Free and Milvus at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, LangChain or Milvus?
- LangChain starts at Free and Milvus at Free.
- Does LangChain or Milvus run on more platforms?
- LangChain runs on Linux, Mac, Windows. Milvus runs on Linux, Mac, Windows, Web.
- Can I use LangChain for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is LangChain best used for?
- LangChain is most often used for building llm applications and agents in python or javascript, tracing and debugging llm chains and agent runs, evaluating prompt and model changes against datasets. Of those, building llm applications and agents in python or javascript and tracing and debugging llm chains and agent runs are not what Milvus is typically brought in for.
- What can LangChain do that Milvus cannot?
- LangChain covers Chains and agents, Retrieval-augmented generation, Memory management, Tool integration. Milvus covers Billion-scale vectors, Multiple index types, GPU acceleration, Hybrid search. Both handle Hugging Face, Linux support, Mac support, Windows support.
Answered from the vendors’ own pages
LangChain: Does LangChain charge for its services?
LangChain's main website does not display pricing. However, LangSmith (a related platform) offers both free and paid plans. Visit the dedicated pricing page or contact LangChain for details.
SourceMilvus: How much does Milvus cost?
Milvus is open-source and free to use and modify. The self-hosted version has no licensing cost. Zilliz Cloud (the managed SaaS version) does not publish pricing on the website.
SourceLangChain: How can I learn about LangChain pricing?
Click on the Pricing link in navigation or use the Try LangSmith or Get a demo options to explore pricing for LangChain's commercial offerings.
SourceMilvus: Is there a free or open-source version of Milvus?
Yes, Milvus is fully open-source and available for free. Milvus Lite is a lightweight option for learning and prototyping that can be installed via pip.
SourceMilvus: Does Milvus offer a managed cloud service?
Yes, Zilliz Cloud is a fully managed Milvus cloud offering with serverless and dedicated cluster options. Pricing must be requested from the company as it is not listed on the public website.
SourceRelated pages
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