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### Description 描述
So we can use it as LLM memory or speedup searching.
### Additional Context 额外上下文
_No response_
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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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### LanceDB version
0.15.0
### What happened?
Behaviour:
`db.dropTable` method is not working as expected for s3+ddb backed storage.
Expectation:
`db.dropTable` method should drop everything n…
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Currently we have support for embeddings, and we're able to save those embeddings but there are no vector database integrations available to scale the implementation for large amounts of vectors.
O…
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Graph database or vector database can help semantic operations, like search or vertical navigation on the knowledge graph.
Maybe pinecone.io
Check Shapiro's Chatbot with infinite memory using OpenAI…
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**Description:** Implement functionality to load external data into the vector database. This involves developing scripts or tools to import data from various sources such as DOCX or PDF files and s…
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**Is your feature request related to a problem? Please describe.**
Currently pinecone is the only supported Vector database. Other alternatives like Milvus, qdrant, deeplake, etc would allow a user t…
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With the rise of storing `vectors` and very unique data structures, the base columns from `piccolo.columns` is simply not good enough to express these datatypes for our DBs.
In my example I am crea…
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#### Content Type
- Guide
#### Article Description
Provide an in-depth guide on how to develop an intelligent codebase embedding and query system using state-of-the-art technologies like vector d…
nkkko updated
2 weeks ago
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### 🐛 Describe the bug
`memo/proxy/main.py`
It seems that when answering questions in memo/proxy/main.py, the recall mechanism doesn't utilize the dictionary information from the graph database.
…