Qdrant Integration
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Qdrant Integration
apify/qdrant-integration
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Transfer data from Apify Actors to a Qdrant vector database.
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0.1.6 (2024-10-04)
- Add retry logic with exponential backoff for Qdrant errors.
- Use Langchain Fake Embeddings for testing.
- Parallelize comparison of crawled data with the database.
- Implement a count() method for Pinecone and Qdrant.
0.1.5 (2024-09-30)
- Add retry logic with exponential backoff for Pinecone database to handle rate limiting.
0.1.4 (2024-09-24)
- Change
milvusUrltomilvusUriandmilvusApiKeytomilvusToken. - Remove
milvusUsernameandmilvusPasswordas they were moved to themilvusUrias part of the URI.
0.1.3 (2024-09-11)
- Set
performChunkingtotrueby default as some users were not aware of the setting their runs were failing.
0.1.2 (2024-09-04)
- Pinecone - add support to update Pinecone index namespace (Optional arg:
PineconeIndexNamespace)
0.1.1 (2024-07-24)
- Fixed issue with Weaviate database when collection was not created before inserting data.
0.1.0 (2024-07-24)
- Introduced the
deleteExpiredObjectssetting to enable or disable the automatic deletion feature. - Previously, outdated data deletion was tied to the enableDeltaUpdates setting. Now, the deletion feature can be controlled independently.
0.0.4 (2024-07-12)
- Add integration to Milvus database (Zilliz)
0.0.3 (2024-06-26)
- The key in the metadata dictionary has been refactored from 'id' to 'chunk_id'. This change was necessitated by the requirements of the Weaviate database.
- A new function, 'get_by_item_id', has been introduced. This function fetches objects from the database, including their ids. With this change, it's no longer necessary to store the 'chunk_id' in the metadata. However, storing the 'chunk_id' remains beneficial for referencing chunks within the metadata."
0.0.2 (2024-06-24)
- Add PostgreSQL database integration (PGVector integration)
0.0.1 (2024-06-20)
- Improved README.md and error messages
0.0.0 (2024-05-24)
- Initial import
Developer
Apify Maintained by Apify
Actor Metrics
3 monthly users
-
3 stars
36% runs succeeded
22 days response time
Created in Jun 2024
Modified 2 months ago
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