10 Open-Source LLM Frameworks Developers Can’t Ignore in 2025
Blog post from Zilliz
The text highlights the importance of large language models (LLMs) in various applications and emphasizes the need for efficient LLM frameworks to unlock their full potential. It showcases 10 open-source LLM frameworks that developers can't ignore heading into 2025, including LangChain, LlamaIndex, Haystack, Dify, Letta, Vanna, Kotaemon, vLLM, Unstructured, and Langfuse. These frameworks simplify workflows, enhance performance, and integrate seamlessly with existing systems, enabling developers to create dynamic, context-aware systems for tasks like conversational agents, document analysis, and summarization. The frameworks also provide features such as prompt engineering utilities, memory management, flexible pipelines, real-time analytics, agent development environments, and observability tools, making them essential for building scalable, efficient, and production-ready LLM applications.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 52 | 4,587 | 525 | 176 | +56% |
| RAG | 27 | 2,188 | 259 | 95 | +39% |
| Vector Search | 17 | 2,869 | 338 | 116 | -34% |
| Real-time | 9 | 4,354 | 979 | 240 | +27% |
| Observability | 6 | 1,241 | 337 | 118 | -31% |
| AI Agents | 4 | 1,166 | 249 | 116 | +1% |
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