Use cases /

Best AI for chatbots and RAG

Build an assistant that answers from your own docs — from no-code to custom code.

Our picks

  1. 1. ChatGPT

    OpenAI's general-purpose AI assistant with chat, images, voice and search.

    Verdict: Top pick to start: a Custom GPT with uploaded files takes minutes. Skip it if you need it on your own site.

  2. 2. Claude

    Anthropic's AI assistant, strong at long documents, writing and code.

    Verdict: Claude Projects are great for an internal team assistant grounded in your docs.

  3. 3. LlamaIndex

    Open-source framework focused on connecting LLMs to your documents and data (RAG).

    Verdict: Best code framework when the hard part is ingesting and retrieving your data well.

  4. 4. LangChain

    Open-source framework for building LLM apps: RAG, tools and integrations.

    Verdict: Biggest ecosystem of integrations; more abstraction than you may need for simple bots.

  5. 5. Cursor

    AI-first code editor (VS Code fork) with chat, inline edits and an agent mode.

    Verdict: Have it write a lean custom RAG app, and use MCP to connect it to your tools.

  6. 6. NotebookLM

    Google's research notebook grounded in your own uploaded sources.

    Verdict: Zero-setup grounded Q&A over your sources, for personal use rather than embedding.

Picks are editorial and not paid. Pricing and features change often — check each official site.