LangChain is a framework for building LLM-powered applications, enabling easy connection to diverse data sources and external tools. Check it out to rapidly prototype, build, and deploy complex AI agents and workflows, streamlining development and ensuring future adaptability.
(Introduction video by IBM Tech)
Strengths:
Rapid Development: Simplifies building complex LLM applications.
Extensive Integrations: Connects LLMs to various data sources, tools, and external systems.
Model Interoperability: Provides a standard interface to easily swap LLMs.
Future-Proofing: Helps adapt to evolving AI models and technologies.
Ecosystem: Integrates with LangSmith (observability), LangGraph (agent orchestration), and LangServe (deployment).
Limitations:
Requires understanding of LLM concepts and prompt engineering.
Complexity can increase with highly customized applications.
Performance is dependent on the underlying LLM and infrastructure chosen.
Pricing:
LangChain is an open-source library and is free to use.
Ollama lets you run large language models (LLMs) locally on your computer, including models like Llama 3.1, Qwen 2.5, and Gemma. You should check it out to leverage powerful AI models for development, experimentation, and personal use, completely free and open source, without cloud dependencies or recurring costs.
(Introduction video by IBM Tech)
Strengths:
Free and Open Source: No cost to use, with community-driven development.
Runs various popular LLMs locally (e.g., DeepSeek-R1, Qwen 3, Llama 3.3, Qwen 2.5‑VL, Gemma 3).
Available for macOS, Linux, and Windows.
Enables offline use and enhanced privacy by keeping data local.
Pricing:
Ollama is free and open source.