run-llama / llama_index

LlamaIndex is a data framework for your LLM applications
https://docs.llamaindex.ai
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[Question]: Why is the embedding generated twice #16160

Closed 912100012 closed 1 month ago

912100012 commented 1 month ago

Question Validation

Question

I notice that the log like "Generating embeddings: 100%|██████████| 1/1 [00:00<00:00, 3.81it/s]" appears twice.The first time is to embed the entity ,and the second time is to embed the complex including the entity ,entity_description and triplet_source_id. I want to know: 1.What is the significance of two-time work? 2.What is the significance that the embedding model embed not only the entity but also the text consist of the entity ,entity_description and triplet_source_id? 3.why I only see the second embedding of the entity in the neo4j browser UI? 4.what the query compares,first embedding or second in the query retrieve step?

dosubot[bot] commented 1 month ago
  1. Significance of Two-Time Embedding: The first embedding is generated for the entity itself, while the second embedding is for a composite text that includes the entity, entity_description, and triplet_source_id. This two-step process ensures that both the individual entity and its contextual information are embedded, allowing for richer and more accurate representations in the graph database.

  2. Embedding Model Significance: Embedding the composite text (entity, entity_description, and triplet_source_id) provides a more comprehensive representation of the entity within its context. This helps in capturing the relationships and metadata associated with the entity, which can improve the accuracy and relevance of queries and updates within the graph store [1].

  3. Neo4j Browser UI: You only see the second embedding in the Neo4j browser UI because it represents the complete and contextualized information about the entity. This embedding includes the entity, its description, and the triplet source ID, which is more useful for querying and relationship management within the graph database [1].

  4. Query Comparison: During the query retrieval step, the system compares the second embedding (the composite embedding of the entity, entity_description, and triplet_source_id). This ensures that the query considers the full context of the entity, leading to more accurate and relevant results [2].

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912100012 commented 1 month ago

So,If the system compares the second embedding (the composite embedding of the entity, entity_description, and triplet_source_id) , rather the firist embedding(only the entity) and neo4J only save the sencond embedding,So why generate the first one?Does it meaningless?@dosu

dosubot[bot] commented 1 month ago

The first embedding (only the entity) is generated because it is used in the upsert_entity_node_query to update the entity node in Neo4j. This embedding is part of the parameters passed to the query, which includes the entity's id, label, name, embedding, and other properties. The composite embedding of the entity, entity_description, and triplet_source_id is then saved in Neo4j as part of the entity node's properties [1].

Additionally, the first embedding is referenced in various parts of the codebase, such as in the upsert_nodes, get_schema, get, and get_triplets methods [1][2]. This indicates that the first embedding is still relevant for certain operations and queries within the system.

To continue talking to Dosu, mention @dosu.