txtai vs ollama
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| txtai | ollama | |
|---|---|---|
| Tagline | All-in-one AI framework for semantic search, LLM orchestration and language model workflows | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. |
| Stars | 13k | 176k |
| Forks | 841 | 17k |
| Open issues | 9 | 3.4k |
| Language | Python | Go |
| License | Apache-2.0 | MIT |
| Last pushed | Jul 2, 2026 | Jul 7, 2026 |
| Categories | Evaluation & Observability, Data & Retrieval, LLM Frameworks, Developer Tools | AI Agents, LLM Frameworks |
txtai
txtai is an all-inclusive framework that supports semantic search, orchestrates large language models (LLMs), and manages language model workflows. It features a versatile embeddings database integrating vector indexes, graph networks, and relational databases, enabling robust applications via pipelines and agent-based solutions.
Python
ollama
Ollama is a platform for deploying and interacting with various large language models (LLMs) such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, and Gemma on macOS, Windows, Linux, and Docker environments.
Go