Ollama + Weaviate + LangChain

This project integrates Ollama, Weaviate, and LangChain to provide a comprehensive language processing solution.

Requirements

• Docker: A platform to develop, ship, and run applications within containers.
• Python 3.11+: The programming language used for this project.
• Weaviate: An open-source, GraphQL and RESTful API-based, knowledge graph that allows you to store, search, and analyze data.
• Ollama: A language model API server.
• LangChain: A language processing library.

Setup and Run

The following command is used to set up and run the project. It uses Docker Compose to start all the services defined in the docker-compose.yaml file.

docker compose up -d

URLs

The following URLs are used to access the different services:

• Weaviate: http://localhost:8080

  • This is the URL for the Weaviate service. You can use this URL to interact with the Weaviate API.

• Ollama Web UI: http://localhost:3000

  • This is the URL for the Ollama Web UI. You can use this URL to interact with the Ollama API.

• App: http://localhost:8501

  • This is the URL for the main application. You can use this URL to interact with the application.