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Ollama vs LlamaIndex

Compare Ollama and LlamaIndex on deployment, pricing, model support, and more.

Ollama

Tagline
Run LLMs locally — pull and run Llama, Mistral, Gemma, and 100+ models with one command and OpenAI-compatible API
Description
Ollama is the easiest way to run large language models locally on macOS, Linux, and Windows. With a simple CLI (`ollama pull llama3.1` → `ollama run llama3.1`), it manages model downloads, hardware configuration, and inference. Ollama's local REST API is compatible with the OpenAI API format, making it a drop-in replacement for cloud LLMs in development and privacy-sensitive production deployments. 163K+ GitHub stars; the most popular local LLM runtime.
Category
LLM Frameworks
Pricing
Free
Metric
174,772 GitHub stars (source)
Link
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LlamaIndex

Tagline
Python RAG framework — connect LLMs to 160+ data sources with production-grade retrieval pipelines
Description
LlamaIndex is a Python data framework for connecting LLMs to external data sources and building retrieval-augmented generation (RAG) applications. It provides 160+ data connectors (PDFs, Notion, Slack, databases, APIs), multiple index types (vector, tree, keyword), query engines, and agent tools. LlamaIndex's focus on data ingestion and retrieval makes it the preferred framework for RAG-heavy applications, complementing LangChain's agent and chain ecosystem.
Category
LLM Frameworks
Pricing
Free
Metric
50,307 GitHub stars (source)
Link
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