practical-tutorials / practical-tutorials/project-based-learning

Graph Adv | Knowledge Graph

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Dominant language
Python
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Description

Description

GraphDB like neo4j is making the information world more efficient. To add tutorials on understanding and implementation of graph db and building knowledge graphs.

Why
  • Knowledge graphs are much efficient with LLM interactions.
  • Understanding the graphs and immense benefit a beginner to an expert.
Possible Implementation & Open Questions
  • To create a aura db in neo4j
  • To extract and build the knowledge graphs
  • To implement RAG on top of the build KG
Is this something you're interested in working on?
  • YES
  • NO

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

No target files or tests are named. Review the repository's existing tutorial structure before scoping separate material for Neo4j AuraDB, knowledge-graph construction, and RAG; done should be a clearly bounded tutorial addition with runnable steps.

Written by the indexing model from the issue text.

Assessment

Tech stack
neo4j
Domain
ai, databases, documentation
Issue type
Documentation
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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