{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/11"}],"enrichment":{"capability":"Integrates IBM watsonx.ai embedding models with LlamaIndex, allowing you to embed text strings using IBM's foundation models through the LlamaIndex API.","skillfed_tags":["embeddings","llm-integration","ibm-cloud"],"use_cases":["Embed documents and queries using IBM's models within a LlamaIndex retrieval-augmented generation (RAG) pipeline.","Build semantic search applications that leverage IBM watsonx.ai's multilingual or domain-specific embedding models.","Integrate IBM's foundation models into LlamaIndex-based applications already using other LLM providers.","Batch embed large text collections for indexing with LlamaIndex using IBM's infrastructure.","Evaluate IBM embedding models as an alternative provider within existing LlamaIndex applications."],"what_it_does":"This package bridges LlamaIndex's embedding interface with IBM watsonx.ai's foundation models, letting you use IBM's embedding models (such as slate-125m-english-rtrvr-v2) within LlamaIndex workflows. It wraps the ibm-watsonx-ai SDK to handle authentication, model selection, and embedding computation.\n\nYou initialize WatsonxEmbeddings with your IBM Cloud credentials, project context, and model choice, then call get_query_embedding() for single strings or get_text_embedding_batch() for multiple texts. The package handles token truncation and API communication with watsonx.ai, making it straightforward to swap IBM models into existing LlamaIndex pipelines that expect an embeddings provider.","worth_installing":"Yes, if you are already using LlamaIndex and have access to IBM watsonx.ai. The package has low install friction, active maintenance, no security vulnerabilities, and a permissive license. It is most valuable for teams committed to IBM's cloud platform or evaluating IBM's embedding models; it adds little value if you lack watsonx.ai access or prefer other embedding providers."},"id":"llama-index-embeddings-ibm","links":{"html":"https://skillfed.io/packages/llama-index-embeddings-ibm","md":"https://skillfed.io/packages/llama-index-embeddings-ibm.md","pypi":"https://pypi.org/project/llama-index-embeddings-ibm/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-02-17","license_spdx":"MIT","license_treatment":"permissive","name":"llama-index-embeddings-ibm","python_support":"supports_current","summary":"llama-index embeddings IBM watsonx.ai integration"},"popularity":{"monthly_downloads":85639,"position":13912,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.6.0.post1"}