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Additional packages (components, document stores and the likes) to extend the capabilities of Haystack version 2.0 and onwards

Results 229 haystack-core-integrations issues
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Closes #671 As explained in the issue, I am proposing to change a bit the arguments that `OpenSearchDocumentStore` accepts. The goal is: 1. First, to allow the user to set...

type:documentation
integration:opensearch

**Describe the bug** Calling `run` with the Mixtral model - `mistral.mixtral-8x7b-instruct-v0:1` is failing with the following error message: `Could not inference Amazon Bedrock model mistral.mixtral-8x7b-instruct-v0:1 due: An error occurred (ValidationException)...

bug

**Describe the bug** When attempting to use Mistral models with the `AmazonBedrockChatGenerator` a 401 unauthenticated error response is returned from huggingface.co as shown below. ```txt None of PyTorch, TensorFlow >=...

bug
integration:amazon-bedrock

**Is your feature request related to a problem? Please describe.** Huggin Face's Optimum library provides faster inference through ONNX and TensorRT. This can be used to create blazing fast embedding...

P1

**Describe the bug** This error is returned when I tried to follow the [official documentation](https://haystack.deepset.ai/integrations/weaviate-document-store) to connect to Weaviate managed cluster. Note: The documentation also has an problem, where url...

bug
P2
integration:weaviate

**Is your feature request related to a problem? Please describe.** I need to use cosine similarity when working with ChromaDB. Currently there's no way to change distance function. **Describe the...

contributions wanted!
feature request
P3

type:documentation
P1
integration:optimum

Adding a Haystack example to https://github.com/ollama/ollama/tree/main/examples as a follow up to the conversation here: https://github.com/ollama/ollama/pull/1808#issuecomment-1953409869

integration:ollama

**Is your feature request related to a problem? Please describe.** I think that the current implementation of `OpenSearchDocumentStore` should be more specific about which arguments it accepts in the `__init__`...

integration:opensearch
feature request
P2

ALLOWED_PARAMS has `max_tokens` but generation_kwargs was using `max_gen_len`. Closes Issue : https://github.com/deepset-ai/haystack-core-integrations/issues/741

integration:amazon-bedrock