Metadata filtering with ElasticSearch vectorstore

[amitguptadumka]

Hi,

I have my index built in Elastic Search and i want to perform multiple metadata filtering with OR condition while retrieving.
Say for example i have below node:
nodes = [
TextNode(
text="The Shawshank Redemption",
metadata={
"author": "Stephen King",
"theme": "Friendship",
},
),
TextNode(
text="The Godfather",
metadata={
"director": "Francis Ford Coppola",
"theme": "Mafia",
},
),
TextNode(
text="Inception",
metadata={
"director": "Christopher Nolan",
},
),
]

Now i want to retrieve the docs which has "Theme"="Mafia" or "author"= "Stephen King". How to achieve that?
For single filtering i tried this and this is working: filters = MetadataFilters(filters=[ExactMatchFilter(key="author", value='Stephen King')]).
But its not working for multiple conditions, kindly guide.

[dosubot[bot]]

🤖

Hey @amitguptadumka! Good to see you diving into LlamaIndex again. We meet once more in the realm of code and queries! 🖥️🚀

To perform multiple metadata filtering with OR condition in Elastic Search, you can use the MetadataFilters class with the FilterCondition.OR condition. Here is how you can retrieve documents with "Theme"="Mafia" or "author"="Stephen King":

from llama_index.vector_stores.types import (
    MetadataFilter,
    FilterCondition,
    MetadataFilters
)

filters = MetadataFilters(
    filters=[
        MetadataFilter(key="theme", value="Mafia"),
        MetadataFilter(key="author", value="Stephen King"),
    ],
    condition=FilterCondition.OR,
)

retriever = index.as_retriever(filters=filters)
retriever.retrieve("Your query here")

In this code, MetadataFilters is used to create a filter with multiple conditions. The filters parameter is a list of MetadataFilter objects, each representing a condition. The condition parameter is set to FilterCondition.OR, which means that the documents retrieved must satisfy at least one of the conditions. The retriever.retrieve method is then used to retrieve the documents that satisfy these conditions.

You can find more information about this in the Chroma Metadata Filter example in the LlamaIndex repository.

However, I wasn't able to find specific information about the use of MetadataFilters with FilterCondition.OR in the LlamaIndex repository. It's possible that this feature is not supported or that the information is located elsewhere. If you have more details or if there's a specific part of the code or documentation you're referring to, please let me know. I'll do my best to assist you further.

Sources

• docs/examples/vector_stores/chroma_metadata_filter.ipynb

---

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[amitguptadumka]

MetadataFilter

@dosu-bot
With this logic its not taking into account OR logic, its somehow giving the output of AND logic.
I am retrieving using Elastic Search Index. Help me with correct code or any other way.

[dosubot[bot]]

🤖

Based on the information provided in the LlamaIndex repository, your code seems to be correct for applying an OR condition using the MetadataFilters class. Here's the relevant code snippet:

from llama_index.vector_stores.types import (
    MetadataFilter,
    MetadataFilters,
    FilterCondition,
)

filters = MetadataFilters(
    filters=[
        MetadataFilter(key="theme", value="Mafia"),
        MetadataFilter(key="author", value="Stephen King"),
    ],
    condition=FilterCondition.OR,
)

retriever = index.as_retriever(filters=filters)
retriever.retrieve("Your query here")

This should retrieve documents where either the "theme" is "Mafia" or the "author" is "Stephen King". If it's not working as expected, it might be due to an issue with the underlying Elastic Search Index or the way the LlamaIndex interacts with it.

However, I couldn't find any specific information in the LlamaIndex repository about support for Elastic Search Index for metadata filtering. It's possible that this feature is not fully supported or there might be some limitations or specific ways to use it with Elastic Search Index.

If you could provide more details about the issue you're facing, such as any error messages or unexpected results, it would be helpful in diagnosing the problem. Also, information about the version of LlamaIndex and Elastic Search you're using could be useful.

Sources

• docs/examples/vector_stores/chroma_metadata_filter.ipynb

---

This response is meant to be useful and save you time. It is not meant to be a precise solution, but rather a starting point for your own research.

Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.

If you want to continue the conversation, start your reply with @dosu-bot.

[amitguptadumka]

🤖

Based on the information provided in the LlamaIndex repository, your code seems to be correct for applying an OR condition using the MetadataFilters class. Here's the relevant code snippet:

from llama_index.vector_stores.types import (
    MetadataFilter,
    MetadataFilters,
    FilterCondition,
)

filters = MetadataFilters(
    filters=[
        MetadataFilter(key="theme", value="Mafia"),
        MetadataFilter(key="author", value="Stephen King"),
    ],
    condition=FilterCondition.OR,
)

retriever = index.as_retriever(filters=filters)
retriever.retrieve("Your query here")

This should retrieve documents where either the "theme" is "Mafia" or the "author" is "Stephen King". If it's not working as expected, it might be due to an issue with the underlying Elastic Search Index or the way the LlamaIndex interacts with it.

However, I couldn't find any specific information in the LlamaIndex repository about support for Elastic Search Index for metadata filtering. It's possible that this feature is not fully supported or there might be some limitations or specific ways to use it with Elastic Search Index.

If you could provide more details about the issue you're facing, such as any error messages or unexpected results, it would be helpful in diagnosing the problem. Also, information about the version of LlamaIndex and Elastic Search you're using could be useful.

Sources

• docs/examples/vector_stores/chroma_metadata_filter.ipynb

This response is meant to be useful and save you time. It is not meant to be a precise solution, but rather a starting point for your own research.

Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.

If you want to continue the conversation, start your reply with @dosu-bot.

@dosu-bot

Is there a way say i define two separate filters f1 and f2 and can i use those in retriever together, for example:
f1 = MetadataFilters(filters=[ExactMatchFilter(key="theme", value="Mafia")])
f2= MetadataFilters(filters=[ExactMatchFilter(key="author", value="Stephen King")])

[dosubot[bot]]

🤖

Based on the context provided, it seems like you're using the MetadataFilters class correctly with the FilterCondition.OR condition. Your code should ideally return documents where either the "theme" is "Mafia" or the "author" is "Stephen King".

However, if it's behaving like FilterCondition.AND, it might be a bug or an unexpected behavior. Unfortunately, I couldn't find any known issues or bugs related to this in the LlamaIndex repository.

As for the support for Elastic Search Index for metadata filtering in LlamaIndex, the documentation or examples in the repository do not provide specific details about this. However, the code you've shared suggests that you can use the MetadataFilters class to create complex filter conditions and apply them when retrieving documents from an Elastic Search Index.

If you're still facing issues, could you please provide more details? Specifically, the version of LlamaIndex and Elastic Search you're using, any error messages you're seeing, and the unexpected results you're getting. This information could help in identifying the issue and providing a more accurate solution.

For reference, here's the link to the example notebook that demonstrates the usage of MetadataFilters class: chroma_metadata_filter.ipynb.

Sources

• docs/examples/vector_stores/chroma_metadata_filter.ipynb

---

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Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.

If you want to continue the conversation, start your reply with @dosu-bot.

[amitguptadumka]

@dosu-bot

Is there a way say i define two separate filters f1 and f2 and can i use those in retriever together, for example:
f1 = MetadataFilters(filters=[ExactMatchFilter(key="theme", value="Mafia")])
f2= MetadataFilters(filters=[ExactMatchFilter(key="author", value="Stephen King")])

[dosubot[bot]]

🤖

Based on the information you've provided, it seems you're trying to use the MetadataFilters class with the FilterCondition.OR condition. Here's how you can do it:

from llama_index.vector_stores.types import (
    FilterOperator,
    FilterCondition,
)

filters = MetadataFilters(
    filters=[
        MetadataFilter(key="theme", value="Fiction"),
        MetadataFilter(key="year", value=1997, operator=FilterOperator.GT),
    ],
    condition=FilterCondition.OR,
)

retriever = index.as_retriever(filters=filters)
retriever.retrieve("Harry Potter?")

In this example, the MetadataFilters class is used to create a filter that matches either nodes with the theme "Fiction" or nodes with a year greater than 1997. The FilterCondition.OR condition is used to specify that a match on either condition is sufficient.

However, you mentioned that the FilterCondition.OR seems to be behaving like FilterCondition.AND. As per the context provided, there's no known issue or bug related to this in the LlamaIndex repository. It's possible that there might be a misunderstanding or misconfiguration in your code.

Regarding the support for Elastic Search Index for metadata filtering in LlamaIndex, the context does not provide any specific information.

For more detailed information, you can refer to the example notebook that demonstrates the usage of MetadataFilters class: chroma_metadata_filter.ipynb.

If you're still facing issues, could you please provide more details about your implementation and the exact issue you're facing? This will help in understanding the problem better and providing a more accurate solution.

Sources

• docs/examples/vector_stores/chroma_metadata_filter.ipynb

---

This response is meant to be useful and save you time. It is not meant to be a precise solution, but rather a starting point for your own research.

Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.

If you want to continue the conversation, start your reply with @dosu-bot.

[amitguptadumka]

@wpiekutowski Any help here please?

[wpiekutowski]

Could you attach a full minimal example that reproduces your issue? A Python file that can be run and shows your problem exactly.

[sunilsamsonsuresh]

I'm looking for something like a nested filter. If I use the first section of the filter only, then it works perfectly, but as I include a nested filter I get a error saying "AttributeError: 'MetadataFilters' object has no attribute 'operator'". I'm using llama-index v0.10.x

filters = MetadataFilters(
        filters=[
            MetadataFilters(
                filters=[
                    MetadataFilter(key="metadata.country_code", value=country_code, operator=FilterOperator.EQ),
                    MetadataFilter(key="metadata.country_code", value='Global', operator=FilterOperator.EQ),
                ],
                condition=FilterCondition.OR
            ),
            MetadataFilter(key="metadata.platformTypes", value='AGENT', operator=FilterOperator.EQ),
        ],
        condition=FilterCondition.AND
    )