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Issue: ElasticsearchEmbeddings does not work on hosted elasticsearch (Platinum) #5239

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lemig opened this issue May 25, 2023 · 5 comments
Closed

Issue: ElasticsearchEmbeddings does not work on hosted elasticsearch (Platinum) #5239

lemig opened this issue May 25, 2023 · 5 comments
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@jeffvestal

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@lemig
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lemig commented May 25, 2023 •
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Issue you'd like to raise.

LangChain 0.0.179, hosted elasticsearch (Platinum edition)

V0.0.179 introduced elasticsearch embeddings, great!

But it is only implemented for elastic cloud.

I want to be able to do embeddings on my own elastic cluster.

@jeffvestal @derickson

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@jeffvestal
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I can add in the ability to use a url (the elasticsearch url) to the connection object rather than the cloud_id.

Would that work for you @lemig ?

@lemig
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lemig commented May 26, 2023

I would rather pass ES client.
If not, I need to pass an elasticsearch url plus elastic client options.
See ssl_verify param in: 039f8f1#diff-6df1e93fbce8079475f40ff4465b79aa5e41131e63eb1d3c57b42b7779cb7adbR137

@jeffvestal
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That should work. I'll take a look at it soon.

@jeffvestal jeffvestal mentioned this issue May 26, 2023
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dev2049 added a commit that referenced this issue May 31, 2023
@jeffvestal @dev2049
Allow ElasticsearchEmbeddings to create a connection with ES Client o…
46e181a 
…bject (#5321)

This PR adds a new method `from_es_connection` to the
`ElasticsearchEmbeddings` class allowing users to use Elasticsearch
clusters outside of Elastic Cloud.

Users can create an Elasticsearch Client object and pass that to the new
function.
The returned object is identical to the one returned by calling
`from_credentials`

```
# Create Elasticsearch connection
es_connection = Elasticsearch(
    hosts=['https://es_cluster_url:port'], 
    basic_auth=('user', 'password')
)

# Instantiate ElasticsearchEmbeddings using es_connection
embeddings = ElasticsearchEmbeddings.from_es_connection(
  model_id,
  es_connection,
)
```

I also added examples to the elasticsearch jupyter notebook

Fixes # #5239

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
@jeffvestal
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@lemig PR was merged.

# Create Elasticsearch connection
es_connection = Elasticsearch(
    hosts=['https://es_cluster_url:port'], 
    basic_auth=('user', 'password')
)

# Instantiate ElasticsearchEmbeddings using es_connection
embeddings = ElasticsearchEmbeddings.from_es_connection(
  model_id,
  es_connection,
)

@lemig
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lemig commented May 31, 2023 •
edited
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Awesome. Thanks @jeffvestal & Elastic!

@lemig lemig closed this as completed May 31, 2023
vowelparrot pushed a commit that referenced this issue May 31, 2023
@jeffvestal @dev2049 @vowelparrot
Allow ElasticsearchEmbeddings to create a connection with ES Client o…
153df9d 
…bject (#5321)

This PR adds a new method `from_es_connection` to the
`ElasticsearchEmbeddings` class allowing users to use Elasticsearch
clusters outside of Elastic Cloud.

Users can create an Elasticsearch Client object and pass that to the new
function.
The returned object is identical to the one returned by calling
`from_credentials`

```
# Create Elasticsearch connection
es_connection = Elasticsearch(
    hosts=['https://es_cluster_url:port'], 
    basic_auth=('user', 'password')
)

# Instantiate ElasticsearchEmbeddings using es_connection
embeddings = ElasticsearchEmbeddings.from_es_connection(
  model_id,
  es_connection,
)
```

I also added examples to the elasticsearch jupyter notebook

Fixes # #5239

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
Undertone0809 pushed a commit to Undertone0809/langchain that referenced this issue Jun 19, 2023
@jeffvestal @dev2049 @Undertone0809
Allow ElasticsearchEmbeddings to create a connection with ES Client o…
6775dac 
…bject (langchain-ai#5321)

This PR adds a new method `from_es_connection` to the
`ElasticsearchEmbeddings` class allowing users to use Elasticsearch
clusters outside of Elastic Cloud.

Users can create an Elasticsearch Client object and pass that to the new
function.
The returned object is identical to the one returned by calling
`from_credentials`

```
# Create Elasticsearch connection
es_connection = Elasticsearch(
    hosts=['https://es_cluster_url:port'], 
    basic_auth=('user', 'password')
)

# Instantiate ElasticsearchEmbeddings using es_connection
embeddings = ElasticsearchEmbeddings.from_es_connection(
  model_id,
  es_connection,
)
```

I also added examples to the elasticsearch jupyter notebook

Fixes # langchain-ai#5239

---------

Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
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