Zilliz Cloud Framework Integrations & SDKs 2026
Milvus ships native integrations for LangChain, LlamaIndex, Haystack and 40+ other RAG frameworks, with first-party SDKs for Python, Node.js, Java and Go.
Zilliz Cloud Framework Integrations verdict
Milvus ships native integrations for LangChain, LlamaIndex, Haystack, DSPy, Dify and more than 40 other RAG frameworks.
First-party SDKs cover Python, Node.js, Java and Go, across Milvus 2.5.x and 2.6.x.
Pick Milvus if your stack is Python, on LangChain, LlamaIndex or DSPy, or Node.js. The langchain-milvus package lets you switch between local dev and Zilliz Cloud production by changing one URI string. If you need .NET or Rust, plan for a community wrapper.
- There is no official .NET, Rust or Ruby SDK. These rely on community wrappers.
- Milvus Lite, the embedded Python option, is limited to development use. Production requires a server or Zilliz Cloud.
- The DSPy and MemGPT integrations are community-driven, so support comes through the Milvus community, not Zilliz SLAs.
- RAG frameworks
- 40+
- SDK languages
- 4
- Newest Python SDK
- 2.6.9
- Milvus Lite
- Embedded dev
- Official .NET/Rust
- No
RAG framework and orchestration integrations
| Integration | Type | Capabilities | Setup |
|---|---|---|---|
| LangChain | Native | RAG orchestration · Chain-of-thought · Document retrieval | Low |
| LlamaIndex | Native | Vector index · Metadata filtering · Hybrid search | Low |
| Haystack | Native | Document store · Embedding retrieval · Pipeline-based | Low |
| DSPy | Native | RAG optimization · MilvusRM retriever · BootstrapFewShot | Medium |
| Dify | Orchestration | No-code LLM apps · Knowledge base · Agent workflows | Low |
| n8n | Connector | Vector search node · Automated RAG · Low-code workflows | Low |
| Mem0 | Agent | Long-term memory · Agent state · Memory retrieval | Medium |
| Vanna.ai | Native | Text-to-SQL · RAG-powered SQL generation | Low |
| OpenAI Agents | Agent | Tool calling · Vector retrieval · Swarm support | Medium |
Find your integration path into Zilliz Cloud
- LangChain is a native integration (RAG orchestration, Chain-of-thought, Document retrieval), low setup effort.
- Official Python (pymilvus) SDK targets API .
- Install:
pip install langchain-milvus
Based on Zilliz Cloud's documented integrations and official SDK matrix.
LangChain + Milvus quickstart
from langchain_milvus import Milvus
from langchain_openai import OpenAIEmbeddings
# Use Milvus Lite for local dev, swap uri for Zilliz Cloud in production
vectorstore = Milvus.from_documents(
documents=docs,
embedding=OpenAIEmbeddings(),
connection_args={"uri": "./milvus_demo.db"},
drop_old=False,
)
# Similarity search with optional metadata filter
hits = vectorstore.similarity_search("vector database scaling", k=4)Official SDKs and client versions
| Language | SDK (Milvus 2.5.x) | SDK (Milvus 2.6.x) | Status |
|---|---|---|---|
| Python (pymilvus) | 2.5.18 | 2.6.9 | Official |
| Node.js | 2.5.13 | 2.6.10 | Official |
| Java | 2.5.15 | 2.6.14 | Official |
| Go | 2.5.6 | 2.6.2 | Official |
Zilliz Cloud LangChain integration detail
- Installed via the langchain-milvus package
- Initialise with Milvus.from_documents() passing connection_args and embedding function
- Milvus Lite embedded mode requires no server; just set uri to a local .db file
- LlamaIndex uses MilvusVectorStore class from llama-index-vector-stores-milvus
- Supports metadata filtering via ExactMatchFilter and MetadataFilters in LlamaIndex
- DSPy integration uses MilvusRM retriever module to optimize RAG programs programmatically
Zilliz Cloud Framework Integrations FAQ
Which frameworks does Milvus integrate with?
Natively with LangChain, LlamaIndex, Haystack, DSPy, Dify, n8n, Mem0, Vanna.ai, OpenAI Agents and more than 40 others listed in the integrations overview. RAG, agent, orchestration and embedding frameworks are all covered.
What languages does Milvus support with official SDKs?
Python, through pymilvus 2.6.9 for Milvus 2.6.x, Node.js at 2.6.10, Java at 2.6.14 and Go at 2.6.2. There is no official .NET, Rust or Ruby SDK.
How do I use Milvus with LangChain?
Install langchain-milvus, pass your connection_args URI, a local .db file or a Zilliz Cloud endpoint, to Milvus.from_documents, then call similarity_search. Switching from local dev to production is a one-line URI change.
What is Milvus Lite and when should I use it?
Milvus Lite is an embedded Python library, part of pymilvus, that stores vectors in a local .db file with no server required. Use it for development and prototyping. For production, connect to a Milvus server or Zilliz Cloud.
Does Milvus work with DSPy for RAG optimization?
Yes. Install dspy-ai with the milvus extra, configure a MilvusRM retriever module, and DSPy automatically optimizes retrieval and generation prompts using BootstrapFewShot. The integration scored a measurable accuracy improvement in the official example.
Which Milvus SDK version should I use in 2026?
For Milvus 2.6.x, the latest stable, use pymilvus 2.6.9, Node.js 2.6.10, Java 2.6.14 and Go 2.6.2. For Milvus 2.5.x, use pymilvus 2.5.18, Node.js 2.5.13, Java 2.5.15 and Go 2.5.6.
Sources & verification
| Source | What was checked | Last checked |
|---|---|---|
| Zilliz Official | Official product page | July 10, 2026 |
| Milvus Integrate With Langchain.Md | Integrate With Langchain.md | July 10, 2026 |
| Milvus Integrate With Llamaindex.Md | Integrate With Llamaindex.md | July 10, 2026 |
| Milvus Integrations Overview.Md | Integrations Overview.md | July 10, 2026 |
| Zilliz Developer docs | Install Sdks | July 10, 2026 |
Every fact on this Zilliz Cloud page is tied to a named source and a verification date. Freshness-sensitive figures trace to the sources above; verify against the vendor before relying on them.
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