Samuel Chan 6ae27d8f06 Some enhancements: ... - Enable the llm_cache storage to support get_by_mode_and_id, to improve the performance for using real KV server - Provide an option for the developers to cache the LLM response when extracting entities for a document. Solving the paint point that sometimes the process failed, the processed chunks we need to call LLM again, money and time wasted. With the new option (by default not enabled) enabling, we can cache that result, can significantly save the time and money for beginners.		2025-01-06 12:50:05 +08:00
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__init__.py	Linting	2024-11-11 10:45:22 +08:00
age_impl.py	feat(lightrag): Add document status tracking and checkpoint support	2024-12-28 00:11:25 +08:00
chroma_impl.py	feat: Add ChromaDB integration for vector storage	2024-12-10 16:23:05 +01:00
gremlin_impl.py	GremlinStorage: fixes and patch to support other Gremlin compatible BD. Tested on ArcadeDB with Gremlin plugin. The main change is using "entity_name" vertex property instead of the label as a node_id since different implementations have different restrictions on label names.	2024-12-23 16:16:17 +01:00
milvus_impl.py	Update __version__	2024-12-13 20:15:49 +08:00
mongo_impl.py	Add MongoDB as KV storage	2024-12-05 13:57:43 +08:00
neo4j_impl.py	Added embedding_func argument in Neo4JStorage class's __init__ method in neo4j implementation	2024-12-02 02:44:47 +05:30
oracle_impl.py	Update oracle_impl.py	2024-12-06 11:06:20 +08:00
postgres_impl.py	Some enhancements:	2025-01-06 12:50:05 +08:00
postgres_impl_test.py	Fix the lint issue	2025-01-04 18:49:32 +08:00
tidb_impl.py	support TiDBGraphStorage	2024-12-18 10:57:33 +08:00