{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/8"}],"enrichment":{"capability":"Integrates Ollama's local embedding models with LlamaIndex for generating text embeddings without external API calls.","skillfed_tags":["embeddings","local-inference","rag"],"use_cases":["Build a private document search system using local embedding models without sending data to external services.","Create offline-capable semantic search for applications that must work without internet connectivity.","Integrate Ollama embeddings into LlamaIndex retrieval pipelines for cost-effective large-scale indexing.","Combine local embeddings with Ollama LLMs to run end-to-end generative AI workflows on-premises.","Batch-embed large document collections using configurable batch sizes and model memory management."],"what_it_does":"This package bridges Ollama, a tool for running large language models locally, with LlamaIndex's embedding and retrieval infrastructure. It provides a drop-in embedding provider that generates vector representations of text using Ollama models running on your machine or a remote server, enabling private, offline-capable semantic search and document indexing without reliance on external APIs.\n\nThe integration supports both synchronous and asynchronous embedding generation, batch processing, and configuration options like query/text instructions and model keep-alive settings. It works seamlessly with LlamaIndex's VectorStoreIndex and other retrieval components, allowing you to build RAG systems entirely on local infrastructure.","worth_installing":"Yes. Low install friction, active maintenance, MIT license, and no known vulnerabilities make this a straightforward choice for anyone building LlamaIndex applications with local Ollama infrastructure. Install it if you're already running Ollama and want seamless vector embedding support; skip it if you rely on cloud embedding APIs."},"id":"llama-index-embeddings-ollama","links":{"html":"https://skillfed.io/packages/llama-index-embeddings-ollama","md":"https://skillfed.io/packages/llama-index-embeddings-ollama.md","pypi":"https://pypi.org/project/llama-index-embeddings-ollama/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-03-12","license_spdx":"MIT","license_treatment":"permissive","name":"llama-index-embeddings-ollama","python_support":"supports_current","summary":"llama-index embeddings ollama integration"},"popularity":{"monthly_downloads":171402,"position":10369,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.9.0"}