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Create downstream connector for Pinecone vector database. This will depend on #1319 for full completeness as embeddings are required to add the content into a vector db. Does not seem that Pinecone has a supported docker approach for local testing so will have to use a Pinecone instance with an associated api key to test against.
The text was updated successfully, but these errors were encountered:
Closes#1414Closes#2039
This PR:
- Uses Pinecone python cli to implement a destination connector for
Pinecone and provides the ingest readme requirements
[(here)](https://github.com/Unstructured-IO/unstructured/tree/main/unstructured/ingest#the-checklist)
for the connector
- Updates documentation for the s3 destination connector
- Alphabetically sorts setup.py contents
- Updates logs for the chunking node in ingest pipeline
- Adds a baseline session handle implementation for destination
connectors, to be able to parallelize their operations
- For the
[bug](#1892)
related to persisting element data to ingest embedding nodes; this PR
tests the
[solution](#1893)
with its ingest test
- Solves a bug on ingest chunking params with [bugfix on chunking params
and implementing related
test](69e1949)
---------
Co-authored-by: Roman Isecke <[email protected]>
Create downstream connector for Pinecone vector database. This will depend on #1319 for full completeness as embeddings are required to add the content into a vector db. Does not seem that Pinecone has a supported docker approach for local testing so will have to use a Pinecone instance with an associated api key to test against.
The text was updated successfully, but these errors were encountered: