llama-index-llms-langchain
llama-index llms langchain integration
Decision gist · record as of 2026-08-14
Yes, if you are already using both LlamaIndex and LangChain and want to use a LangChain LLM provider within LlamaIndex. The low install friction, active maintenance, MIT license, and zero known vulnerabilities make it a straightforward choice. Install it only if you have a specific LangChain provider you need to integrate; if LlamaIndex has a direct integration for your model, that is likely simpler.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later
- Low friction installation with only two runtime dependencies.
- The package is actively maintained with a recent release.
License · maintenance · safety
MIT (permissive) — MIT license permits free use, modification, and distribution with minimal restrictions—suitable for both open-source and commercial projects.
last release 2026-03-12 (155 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 151,694 downloads/mo, #10,924 on PyPI
Alternatives
Verify before relying
pip install llama-index-llms-langchain
from langchain.llms import OpenAI
from llama_index.llms.langchain import LangChainLLM
llm = LangChainLLM(llm=OpenAI())
response_gen = llm.stream_complete("Hi this is")
for delta in response_gen:
print(delta.delta, end="")- Whether all LangChain LLM implementations are fully compatible with LlamaIndex's streaming and completion interfaces
- Performance characteristics when using LangChain providers compared to native LlamaIndex integrations
What it is and what it does
This package provides a wrapper that lets you use any LangChain-compatible language model as a LlamaIndex LLM. It acts as an adapter layer, translating between LlamaIndex's LLM interface and LangChain's model implementations. You instantiate a LangChain model (such as OpenAI) and wrap it with LangChainLLM, then use it directly in LlamaIndex workflows for indexing, querying, and response generation.
The integration supports both standard completion and streaming responses. It depends on langchain and llama-index-core. This is useful when you want to leverage LlamaIndex's retrieval and indexing capabilities while using a specific LangChain provider or model that may not have a direct LlamaIndex integration.
Use it for
- Use LangChain's OpenAI wrapper within LlamaIndex to build RAG pipelines with specific model configurations
- Integrate a custom or lesser-known LangChain LLM provider into LlamaIndex without writing your own adapter
- Stream responses from LangChain models through LlamaIndex's completion API for real-time output
- Combine LlamaIndex's document indexing with a LangChain LLM you already have configured in another project
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are already using both LlamaIndex and LangChain and want to use a LangChain LLM provider within LlamaIndex.
The low install friction, active maintenance, MIT license, and zero known vulnerabilities make it a straightforward choice. Install it only if you have a specific LangChain provider you need to integrate; if LlamaIndex has a direct integration for your model, that is likely simpler.
Install
llama-index-llms-langchain on PyPI
Before you install
Low friction installation with only two runtime dependencies. The package is actively maintained with a recent release.
Requires Python 3.10 or later
License in practice
MIT license permits free use, modification, and distribution with minimal restrictions—suitable for both open-source and commercial projects.
Quickstart
pip install llama-index-llms-langchain
from langchain.llms import OpenAI
from llama_index.llms.langchain import LangChainLLM
llm = LangChainLLM(llm=OpenAI())
response_gen = llm.stream_complete("Hi this is")
for delta in response_gen:
print(delta.delta, end="")Verify before relying
- Whether all LangChain LLM implementations are fully compatible with LlamaIndex's streaming and completion interfaces
- Performance characteristics when using LangChain providers compared to native LlamaIndex integrations
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <4.0,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packageslangchainllama-index-core |
| Maintenance | Actively maintained 155 days since the last release |
| First released | |
| Downloads | 151,694 / month, #10,924 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: llama_index_llms_langchain-0.8.0-py3-none-any.whl
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See also llama-index-embeddings-langchain · llama-index-llms-litellm · llama-index-llms-openai-like · llama-index-llms-gemini · llama-cpp-python · llama-index-llms-openai · llama-index-llms-azure-openai · llama-index-agent-openai · llama-index-llms-vertex · llama-index-llms-bedrock