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elasticsearch: check for deployed models #18973
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hwchase17
merged 2 commits into
langchain-ai:master
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maxjakob:es-check-deployed-model
Mar 19, 2024
Merged
elasticsearch: check for deployed models #18973
hwchase17
merged 2 commits into
langchain-ai:master
from
maxjakob:es-check-deployed-model
Mar 19, 2024
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This PR changes 30-99 lines, ignoring generated files.
Ɑ: vector store
Related to vector store module
🔌: elasticsearch
Primarily related to elastic/elasticsearch integrations
🤖:improvement
Medium size change to existing code to handle new use-cases
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Mar 12, 2024
joemcelroy
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Mar 12, 2024
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gkorland
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Mar 30, 2024
When creating a new index, if we use a retrieval strategy that expects a model to be deployed in Elasticsearch, check if a model with this name is indeed deployed before creating an index. This lowers the probability to get into a state in which an index was created with a faulty model ID, which cannot be overwritten any more (the index has to manually be deleted).
chrispy-snps
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Mar 30, 2024
When creating a new index, if we use a retrieval strategy that expects a model to be deployed in Elasticsearch, check if a model with this name is indeed deployed before creating an index. This lowers the probability to get into a state in which an index was created with a faulty model ID, which cannot be overwritten any more (the index has to manually be deleted).
hinthornw
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Apr 26, 2024
When creating a new index, if we use a retrieval strategy that expects a model to be deployed in Elasticsearch, check if a model with this name is indeed deployed before creating an index. This lowers the probability to get into a state in which an index was created with a faulty model ID, which cannot be overwritten any more (the index has to manually be deleted).
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Labels
🔌: elasticsearch
Primarily related to elastic/elasticsearch integrations
🤖:improvement
Medium size change to existing code to handle new use-cases
partner
size:M
This PR changes 30-99 lines, ignoring generated files.
Ɑ: vector store
Related to vector store module
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When creating a new index, if we use a retrieval strategy that expects a model to be deployed in Elasticsearch, check if a model with this name is indeed deployed before creating an index. This lowers the probability to get into a state in which an index was created with a faulty model ID, which cannot be overwritten any more (the index has to manually be deleted).