Build Real-Time Knowledge Graph for Documents with LLM

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  1. cartography

    Cartography is a Python tool that pulls infrastructure assets and their relationships into a Neo4j graph database. (by cartography-cncf)

    I built an open source one (https://github.com/cartography-cncf/cartography) and am building commercial support around it (https://subimage.io)

  2. SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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  3. opengraph

    A python module to parse the Open Graph Protocol

    For context, the subject-predicate-object pattern is known as a semantic triple or Resource Description Framework (RDF) triple:

    https://en.wikipedia.org/wiki/Semantic_triple

    They're useful for storing social network graph data, for example, and can be expressed using standards like Open Graph and JSONAPI:

    https://ogp.me

    https://jsonapi.org

    I've stored RDF triples in database tables and experimented with query concepts from neo4j:

    https://neo4j.com/docs/getting-started/data-modeling/tutoria...

    These are straightforward to translate to SQL but the syntax can get messy due to not always having foreign keys available and hitting limitations with polymorphic relationships. Some object-relational mapping (ORM) frameworks help with this:

    https://laravel.com/docs/12.x/eloquent-relationships#polymor...

    I feel that document-oriented databases like MongoDB jumped the gun a bit, and would have preferred to have had graph-oriented or key-value-oriented databases providing row/column/document oriented queries and views. Going the other way feels a bit kludgy to me:

    https://www.mongodb.com/resources/basics/databases/mongodb-g...

    Basically Set Theory internally with multiple query languages externally and indexed by default.

    Oh and have all writes generate an event stream like Firebase does so we can easily build reactive apps.

  4. json-api

    A specification for building JSON APIs

    For context, the subject-predicate-object pattern is known as a semantic triple or Resource Description Framework (RDF) triple:

    https://en.wikipedia.org/wiki/Semantic_triple

    They're useful for storing social network graph data, for example, and can be expressed using standards like Open Graph and JSONAPI:

    https://ogp.me

    https://jsonapi.org

    I've stored RDF triples in database tables and experimented with query concepts from neo4j:

    https://neo4j.com/docs/getting-started/data-modeling/tutoria...

    These are straightforward to translate to SQL but the syntax can get messy due to not always having foreign keys available and hitting limitations with polymorphic relationships. Some object-relational mapping (ORM) frameworks help with this:

    https://laravel.com/docs/12.x/eloquent-relationships#polymor...

    I feel that document-oriented databases like MongoDB jumped the gun a bit, and would have preferred to have had graph-oriented or key-value-oriented databases providing row/column/document oriented queries and views. Going the other way feels a bit kludgy to me:

    https://www.mongodb.com/resources/basics/databases/mongodb-g...

    Basically Set Theory internally with multiple query languages externally and indexed by default.

    Oh and have all writes generate an event stream like Firebase does so we can easily build reactive apps.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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