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Feature/configure flows (#345)

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- Keeps processing in different flows separate so that data can go to different stores / collections etc.
- Potentially supports different processing flows
- Tidies the processing API with common base-classes for e.g. LLMs, and automatic configuration of 'clients' to use the right queue names in a flow
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cybermaggedon 2025-04-22 20:21:38 +01:00 • committed by GitHub
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125 changed files with 3751 additions and 2628 deletions
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trustgraph-flow/trustgraph/storage/doc_embeddings/pinecone/write.py
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@ -16,7 +16,7 @@ from .... schema import document_embeddings_store_queue
from .... log_level import LogLevel
from .... base import Consumer
module = ".".join(__name__.split(".")[1:-1])
module = "de-write"
default_input_queue = document_embeddings_store_queue
default_subscriber = module