{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/10"}],"enrichment":{"capability":"Integrates Langchain embedding models with LlamaIndex, allowing you to use Langchain's embedding providers within LlamaIndex's retrieval and indexing workflows.","skillfed_tags":["embedding-integration","llm-tooling"],"use_cases":["Index documents in LlamaIndex with embedding models provided by Langchain","Switch between different Langchain embedding providers in an existing LlamaIndex application","Migrate from a pure Langchain setup to LlamaIndex while keeping your embedding provider choice","Combine Langchain's embedding options with LlamaIndex's retrieval and query capabilities"],"what_it_does":"This package bridges Langchain's embedding ecosystem into LlamaIndex, letting you leverage Langchain's embedding models and providers when building LlamaIndex applications. It acts as an adapter layer that wraps Langchain embedding implementations so they work as drop-in replacements within LlamaIndex's indexing, retrieval, and vector store operations.\n\nThe integration depends only on llama-index-core, keeping the dependency footprint minimal. It's designed for developers who already use or prefer Langchain's embedding infrastructure and want to use those same models within LlamaIndex workflows without reimplementing or duplicating embedding logic.","worth_installing":"Yes, if you are already using LlamaIndex and want to use Langchain embedding models. The package has low install friction, active maintenance, no known vulnerabilities, and a permissive MIT license. It is a straightforward integration layer with a single core dependency."},"id":"llama-index-embeddings-langchain","links":{"html":"https://skillfed.io/packages/llama-index-embeddings-langchain","md":"https://skillfed.io/packages/llama-index-embeddings-langchain.md","pypi":"https://pypi.org/project/llama-index-embeddings-langchain/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-03-12","license_spdx":"MIT","license_treatment":"permissive","name":"llama-index-embeddings-langchain","python_support":"supports_current","summary":"llama-index embeddings langchain integration"},"popularity":{"monthly_downloads":108611,"position":12550,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.5.0"}