* Separate memgraph query/write modules to optimise for memgraph
* Used 1GB memory for Memgraph
* Deployed specialised memgraph query/write processors, created memgraph indexes
* One triple is loaded as a single transaction
* Fixed index creation
API-side support for Wikipedia, DBpedia and internet search functions This incorporates a refactor of the API code to break it up, separate classes for endpoints to reduce duplication
* Acknowledge messaages from Pulsar, doh!
* Change API to deliver a boolean e if value is an entity
* Change loaders to use new API
* Changes, entity-aware API is complete
* Added single-target command-line config generator. Mainly using for
testing ATM.
* Slightly tweak the config decode so that components can over-ride the
'with' method which injects parameters.
* Deliberately break the prompt-generic template. Could do better, this
is temporary.
* Add 'prompt-overrides' component, injects new prompts.
* Removed prompt generic reference, not used
* prompt-generic is no longer supported
* Add schema load util
* Added a sample schema turtle file will be useful for future testing and
tutorials.
* Fixed graph label metadata confusion, was created incorrect subjectOf
edges.
* Rework metadata structure in processing messages to be a subgraph
* Add subgraph creation for tg-load-pdf and tg-load-text based on command-line passing of doc attributes
* Document metadata is added to knowledge graph with subjectOf linkage to extracted entities
- Change templates to interpolate environment variables in docker compose
- Change templates to invoke secrets for environment variable credentials in K8s configuration
- Update LLMs to pull in credentials from environment variables if not specified
* Update schema defs for source -> metadata
* Migrate to use metadata part of schema, also add metadata to triples & vecs
* Add user/collection metadata to query
* Use user/collection in RAG
* Write and query working on triples
