qdrant-haystack

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pre-commit-ci[bot]

Pinning of torch dependency

2

I noticed that `torch = "

michaelfeil

Support for haystack v2

3

Are there plans to add a document store implementation for v2? See here for Chroma and ElasticSearch integrations. Pinecone seems to be added right now: https://github.com/deepset-ai/haystack-core-integrations

jdb78

According to qdrant, the optimal strategy for Multitenancy is partioning. > How many collections should you create? In most cases, you should only use a single collection with payload-based partitioning....

chris-aeviator

document_store.update_embeddings seems to update embeddings regardless of parameter

1

I'm using qdrant-haystack 1.0.11 with farm-haystack==1.21.2 and python 3.10.13 on Win10 and Qdrant running in Docker. When updating the embeddings of a document store, document_store.update_embeddings seems to update all embeddings...

theoky

# Pull Request ## Description Add `batch_size` parameter to __init__. The batch_size parameter specified in the __init__ of qdrant for the functions `get_all_documents(), get_all_documents_generator(), get_documents_by_id()`, `write_documents() `(NOT for update_embeddings) not...

pandasar13

Is your feature request related to a problem? Please describe. I am using various document stores and notice some differences in the __init__. For instance while Opensearch, Weaviate or Elasticsearch...

pandasar13

In qdrant you can pass hnsw_ef to the SearchParams to indicate the ef_search value. However,this feature is not present in qdrant-haystack. My idea would be to add a parameter to...

pandasar13

Hello, I wanted to implement the following example with Qdrant: https://haystack.deepset.ai/tutorials/15_tableqa Initialisation of the DocumentStore: document_store = QdrantDocumentStore( ":memory:", index="document", embedding_dim=768 ) A list with Document(content=current_df, content_type="table", id=key) is created...

willmsMwx