★★★★★ 4.7 CE

Weaviate Framework Integrations & SDKs 2026

Weaviate ships native integrations for LangChain, LlamaIndex, Haystack and more, with official SDKs for Python, TypeScript, Go, Java and C#. No Ruby or PHP SDK.

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Weaviate Framework Integrations verdict

Verified today·7 sources checked

Weaviate ships native integrations for LangChain, LlamaIndex, Haystack, DSPy, Semantic Kernel and CrewAI.

Plus official first-party SDKs for Python, TypeScript, Go, Java and C#. There is no official Ruby or PHP SDK.

How it fits your stack

For Python or TypeScript teams on LangChain, LlamaIndex or Haystack, Weaviate setup is a single pip or npm install. Java and C# teams have official SDKs. Ruby or PHP teams must wrap the REST or gRPC API without an official client.

Honest limits

There is no official Ruby, PHP or Rust SDK. Community clients exist but are not Weaviate-maintained.
The C# and Java SDKs both require Weaviate 1.33.0 or newer for gRPC, so they will not connect to older self-hosted instances.
The LlamaIndex and DSPy integration pages point to notebooks rather than inline code, so implementation requires GitHub examples.

Native frameworks: 6
SDK languages: 5
Python SDK: v4.22
TS/JS SDK: v3.13
Official Ruby/PHP/Rust: No

View sources

Weaviate framework and orchestration integrations

Integration	Type	Capabilities	Setup
LangChain	Native	RAG orchestration · Hybrid search · Multi-tenancy · Agent tool	Low
LlamaIndex	Native	Indexing · Vector store retrieval · Query engines	Low
Haystack	Native	Document store · BM25 retrieval · Embedding retrieval · Hybrid retrieval	Low
DSPy	Native	Retriever model · Program compilation · Prompt optimization	Medium
Semantic Kernel	Native	Memory connector · AI orchestration	Medium
CrewAI	Native	Agent memory · Tool integration	Medium
n8n	Connector	Workflow automation · Vector store node	Low
Composio	Connector	Tool orchestration · Agent actions	Medium

LangChain + Weaviate quickstart

pip install langchain-weaviate langchain-openaipython

import weaviate
from langchain_weaviate import WeaviateVectorStore
from langchain_openai import OpenAIEmbeddings

# connect to local Weaviate instance
weaviate_client = weaviate.connect_to_local()

# index documents and create vector store
db = WeaviateVectorStore.from_documents(docs, OpenAIEmbeddings(), client=weaviate_client)

# hybrid search: alpha=0.5 blends vector + keyword equally; use k and filter
results = db.similarity_search("What did the president say?", k=4, alpha=0.5)

Official Weaviate SDKs and clients

Language	Package	Version	Install	Status
Python	weaviate-client	v4.22.0	pip install -U weaviate-client	Official
TypeScript / JS	weaviate-client	v3.13.1	npm install weaviate-client	Official
Go	github.com/weaviate/weaviate-go-client/v5	v5.7.2	go get github.com/weaviate/weaviate-go-client/v5	Official
Java	io.weaviate:client6	6.2.0	<dependency>io.weaviate:client6:6.2.0</dependency>	Official
C#	Weaviate.Client	1.1.1	dotnet add package Weaviate.Client --version 1.1.1	Official
Python (async)	weaviate-client	v4.7.0+	pip install -U weaviate-client	Official

Weaviate LangChain integration detail

Installed via the langchain-weaviate package
Exposes the WeaviateVectorStore class for vector store operations
WeaviateVectorStore.from_documents() creates an index from a list of documents plus an embedding model
similarity_search() accepts k, filters (weaviate.classes.query.Filter), alpha (vector/keyword weight), and tenant
as_retriever() supports search_type='similarity' or 'mmr' (maximal marginal relevance)

Weaviate Framework Integrations FAQ

Which AI frameworks integrate natively with Weaviate?

LangChain, LlamaIndex, Haystack, DSPy, Semantic Kernel and CrewAI all ship native Weaviate connectors. LangChain uses langchain-weaviate, Haystack uses weaviate-haystack, and LlamaIndex uses its built-in WeaviateVectorStore class.

Which programming languages have an official Weaviate SDK?

Five languages: Python at v4.22.0, TypeScript or JavaScript at v3.13.1, Go at v5.7.2, Java at 6.2.0 and C# at 1.1.1. There is no official Ruby, PHP or Rust SDK, so those require the REST or gRPC API directly.

How do I use Weaviate with LangChain?

Install langchain-weaviate, connect a Weaviate client with weaviate.connect_to_local or connect_to_weaviate_cloud, then call WeaviateVectorStore.from_documents. Use the alpha parameter, from 0 to 1, to blend vector and keyword scoring in one similarity_search call.

Does Weaviate support hybrid search in LangChain?

Yes. The alpha parameter on similarity_search controls the blend: alpha=1.0 is pure vector search, alpha=0.0 is pure keyword, and alpha=0.5 gives equal weight. This is unique compared with Pinecone's LangChain integration, which does not expose hybrid in the same call.

What version of Weaviate does the C# or Java SDK require?

Both the Java client, at v6.2.0, and the C# client, at v1.1.1, require Weaviate 1.33.0 or higher, because they communicate over gRPC on default port 50051. Older self-hosted Weaviate instances below 1.33 are not compatible.

Sources & verification

Verified by ComparEdgeMethod: Vendor docs, official pages, and selected independent sources

Source	What was checked	Last checked
Weaviate Official	Official product page	July 10, 2026
Deepset Integrations Weaviate Document Store	Independent reference	July 10, 2026
Langchain Developer docs	Independent reference	July 10, 2026
Weaviate Developer docs	Client Libraries Python	July 10, 2026
Weaviate Developer docs	Client Libraries Typescript	July 10, 2026
Weaviate Developer docs	Client Libraries Go	July 10, 2026
Weaviate Developer docs	Client Libraries Java	July 10, 2026

Every fact on this Weaviate 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.