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Using Neo4j for knowledge graph. Complete with API for end-to-end ingestion, indexing and retrieval pipeline ready for workflow integration.

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haja-k/neo4j-document-pipeline

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Neo4j Document Injection

Getting started

➡️ In development environment (local development):

  1. Build the docker image by running the file build_images.sh
  2. Run the file named run_dev.sh
  3. Observe the logs from the terminal and fix/update the API accordingly
  4. Access the Swagger UI to see the API list at http://127.0.0.1:8086/docs

➡️ In TNT environment (Server deployment):

  1. Build the docker image by running the file build_images.sh
  2. Run the command docker compose -f docker-compose.dev.yml up -d --build
  3. Observe the logs from the terminal by running the command docker compose -f logs

➡️ In production environment:

  1. Build the docker image by running the file build_images.sh
  2. Run the file named run_prod.sh

Note:

  • Running sh files in Linux and Windows have different methods respectively.
  • In Linux OS, make the file executable first by chmod +x <file name>
    • Then run sh <file name>
  • In Windows terminal, just type in the name of the file

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