ArangoDB integration with LangChain

A LangChain integration for using LLMs to provide a natural language interface for the data stored in ArangoDB

LangChain  is a framework for developing applications powered by language models.

LangChain enables applications that are:

  • Data-aware (connect a language model to other sources of data)
  • Agentic (allow a language model to interact with its environment)

The ArangoDB integration with LangChain provides you the ability to analyze data seamlessly via natural language, eliminating the need for query language design. By using LLM chat models such as OpenAI’s ChatGPT, you can “speak” to your data instead of querying it.

Get started with ArangoDB QA chain

The ArangoDB QA chain notebook  shows how to use LLMs to provide a natural language interface to an ArangoDB instance.

Run the notebook directly in Google Colab .

See also other machine learning interactive tutorials .