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Based on the requirements and the existing TxtAI ecosystem, here's a proposed approach to develop LLM Integration for Knowledge Graph Enhancement:
1. Automatic Knowledge Graph Generation and Enrich…
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### Question Validation
- [x] I have searched both the documentation and discord for an answer.
### Question
Hi I have general question,
How can we retrieve the knowledge graph embeddings from the…
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### Bug Description
There seems to be a disconnect between the knowledge graph construction and using embeddings when using an external graph store (such as neo4j in this case).
I am trying to co…
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### Feature Description
**Current Problem:**
We need to parallelize the process of creating the index of a knowledge graph. Currently, the code sequentially processes each call to the language model…
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## 一言でいうと
CNNで知識グラフのリンクを予測する(エンティティと関連から、関連先エンティティを予測する)という試み。適用自体はストレートで、それぞれベクトル化してCNNで扱いやすいよう2次元にreshpeして畳み込み、潜在表現にしたのち候補の全エンティティとの比較を同時に行う
![image](https://user-images.githubusercontent.com/…
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### Self Checks
- [X] I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
- [X] I confirm that I am using English to su…
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### Question Validation
- [X] I have searched both the documentation and discord for an answer.
### Question
Hi, at the moment I want to use **KnowledgeGraphRAGRetriever** with Knowledge graph stor…
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**Please check the FAQ documentation before raising an issue**
**Describe the bug (__required__)**
Upon running the python script to create a knowledge graph, I keep getting an error which see…
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Sure! Let's summarize the entire idea from the beginning:
### Initial Concept
1. **Symbolic Assignments**:
- We started by assigning symbolic meanings to prime numbers, connecting them to concepts…
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Hi guys, I thought it would be interesting and useful to implement LiteralE as it can handle literals (numerical). Do you think it is feasible? As far as I know it has been coded on top of ConvE code…