Docs update (#1875)

This commit is contained in:
Prateek Chhikara
2024-09-17 10:53:14 -07:00
committed by GitHub
parent 55c54beeab
commit 8c3c9e1520
5 changed files with 33 additions and 16 deletions

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@@ -29,6 +29,9 @@ To initialize Graph Memory you'll need to set up your configuration with graph s
Currently, we support Neo4j as a graph store provider. You can setup [Neo4j](https://neo4j.com/) locally or use the hosted [Neo4j AuraDB](https://neo4j.com/product/auradb/). Currently, we support Neo4j as a graph store provider. You can setup [Neo4j](https://neo4j.com/) locally or use the hosted [Neo4j AuraDB](https://neo4j.com/product/auradb/).
Moreover, you also need to set the version to `v1.1` (*prior versions are not supported*). Moreover, you also need to set the version to `v1.1` (*prior versions are not supported*).
<Note>If you are using Neo4j locally, then you need to install [APOC plugins](https://neo4j.com/labs/apoc/4.1/installation/).</Note>
User can also customize the LLM for Graph Memory from the [Supported LLM list](https://docs.mem0.ai/components/llms/overview) with three levels of configuration: User can also customize the LLM for Graph Memory from the [Supported LLM list](https://docs.mem0.ai/components/llms/overview) with three levels of configuration:
1. **Main Configuration**: If `llm` is set in the main config, it will be used for all graph operations. 1. **Main Configuration**: If `llm` is set in the main config, it will be used for all graph operations.

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@@ -9,7 +9,7 @@ class ChromaDbConfig(BaseModel):
try: try:
from chromadb.api.client import Client from chromadb.api.client import Client
except ImportError: except ImportError:
raise ImportError("The 'chromadb' library is required. Please install it using 'pip install chromadb'.") raise ImportError("The 'chromadb' library is required. Please install it using 'pip install chromadb'.")
Client: ClassVar[type] = Client Client: ClassVar[type] = Client
collection_name: str = Field("mem0", description="Default name for the collection") collection_name: str = Field("mem0", description="Default name for the collection")

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@@ -3,14 +3,19 @@ import logging
from langchain_community.graphs import Neo4jGraph from langchain_community.graphs import Neo4jGraph
from rank_bm25 import BM25Okapi from rank_bm25 import BM25Okapi
from mem0.graphs.tools import (ADD_MEMORY_STRUCT_TOOL_GRAPH, from mem0.graphs.tools import (
ADD_MEMORY_TOOL_GRAPH, ADD_MESSAGE_STRUCT_TOOL, ADD_MEMORY_STRUCT_TOOL_GRAPH,
ADD_MESSAGE_TOOL, NOOP_STRUCT_TOOL, NOOP_TOOL, ADD_MEMORY_TOOL_GRAPH,
SEARCH_STRUCT_TOOL, SEARCH_TOOL, ADD_MESSAGE_STRUCT_TOOL,
UPDATE_MEMORY_STRUCT_TOOL_GRAPH, ADD_MESSAGE_TOOL,
UPDATE_MEMORY_TOOL_GRAPH) NOOP_STRUCT_TOOL,
from mem0.graphs.utils import (EXTRACT_ENTITIES_PROMPT, NOOP_TOOL,
get_update_memory_messages) SEARCH_STRUCT_TOOL,
SEARCH_TOOL,
UPDATE_MEMORY_STRUCT_TOOL_GRAPH,
UPDATE_MEMORY_TOOL_GRAPH,
)
from mem0.graphs.utils import EXTRACT_ENTITIES_PROMPT, get_update_memory_messages
from mem0.utils.factory import EmbedderFactory, LlmFactory from mem0.utils.factory import EmbedderFactory, LlmFactory
logger = logging.getLogger(__name__) logger = logging.getLogger(__name__)

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@@ -63,7 +63,9 @@ def capture_event(event_name, memory_instance, additional_data=None):
"collection": memory_instance.collection_name, "collection": memory_instance.collection_name,
"vector_size": memory_instance.embedding_model.config.embedding_dims, "vector_size": memory_instance.embedding_model.config.embedding_dims,
"history_store": "sqlite", "history_store": "sqlite",
"graph_store": f"{memory_instance.graph.__class__.__module__}.{memory_instance.graph.__class__.__name__}" if memory_instance.config.graph_store.config else None, "graph_store": f"{memory_instance.graph.__class__.__module__}.{memory_instance.graph.__class__.__name__}"
if memory_instance.config.graph_store.config
else None,
"vector_store": f"{memory_instance.vector_store.__class__.__module__}.{memory_instance.vector_store.__class__.__name__}", "vector_store": f"{memory_instance.vector_store.__class__.__module__}.{memory_instance.vector_store.__class__.__name__}",
"llm": f"{memory_instance.llm.__class__.__module__}.{memory_instance.llm.__class__.__name__}", "llm": f"{memory_instance.llm.__class__.__module__}.{memory_instance.llm.__class__.__name__}",
"embedding_model": f"{memory_instance.embedding_model.__class__.__module__}.{memory_instance.embedding_model.__class__.__name__}", "embedding_model": f"{memory_instance.embedding_model.__class__.__module__}.{memory_instance.embedding_model.__class__.__name__}",

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@@ -3,9 +3,16 @@ import os
import shutil import shutil
from qdrant_client import QdrantClient from qdrant_client import QdrantClient
from qdrant_client.models import (Distance, FieldCondition, Filter, MatchValue, from qdrant_client.models import (
PointIdsList, PointStruct, Range, Distance,
VectorParams) FieldCondition,
Filter,
MatchValue,
PointIdsList,
PointStruct,
Range,
VectorParams,
)
from mem0.vector_stores.base import VectorStoreBase from mem0.vector_stores.base import VectorStoreBase