Rename embedchain to mem0 and open sourcing code for long term memory (#1474)

Co-authored-by: Deshraj Yadav <deshrajdry@gmail.com>

embedchain/embedchain/cache.py

@@ -0,0 +1,44 @@
+import logging
+import os  # noqa: F401
+from typing import Any
+
+from gptcache import cache  # noqa: F401
+from gptcache.adapter.adapter import adapt  # noqa: F401
+from gptcache.config import Config  # noqa: F401
+from gptcache.manager import get_data_manager
+from gptcache.manager.scalar_data.base import Answer
+from gptcache.manager.scalar_data.base import DataType as CacheDataType
+from gptcache.session import Session
+from gptcache.similarity_evaluation.distance import \
+    SearchDistanceEvaluation  # noqa: F401
+from gptcache.similarity_evaluation.exact_match import \
+    ExactMatchEvaluation  # noqa: F401
+
+logger = logging.getLogger(__name__)
+
+
+def gptcache_pre_function(data: dict[str, Any], **params: dict[str, Any]):
+    return data["input_query"]
+
+
+def gptcache_data_manager(vector_dimension):
+    return get_data_manager(cache_base="sqlite", vector_base="chromadb", max_size=1000, eviction="LRU")
+
+
+def gptcache_data_convert(cache_data):
+    logger.info("[Cache] Cache hit, returning cache data...")
+    return cache_data
+
+
+def gptcache_update_cache_callback(llm_data, update_cache_func, *args, **kwargs):
+    logger.info("[Cache] Cache missed, updating cache...")
+    update_cache_func(Answer(llm_data, CacheDataType.STR))
+    return llm_data
+
+
+def _gptcache_session_hit_func(cur_session_id: str, cache_session_ids: list, cache_questions: list, cache_answer: str):
+    return cur_session_id in cache_session_ids
+
+
+def get_gptcache_session(session_id: str):
+    return Session(name=session_id, check_hit_func=_gptcache_session_hit_func)