* - Refactored retry for rate limits into the base class
- ConsumerProducer is derived from Consumer to simplify code
- Added rate_limit_count metrics for rate limit events
* Add rate limit events to VertexAI and Google AI Studio
* Added Grafana rate limit dashboard
* Add rate limit handling to all LLMs
* Make schema changes
* Core entity context flow in place
* extract-def outputs entity contexts
* Refactored qdrant write
* Refactoring of all vector stores in place
* Fix invalid variable name invocation
* Fix error responses in websockets
* Increase websocket limits to 50MB max message. Turn on Pulsar chunking by default.
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
* 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
* 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
