deepset-ai / haystack

:mag: AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
https://haystack.deepset.ai
Apache License 2.0
17.19k stars 1.88k forks source link

PipelineConnectError #8469

Open SnehaVardhan09 opened 5 hours ago

SnehaVardhan09 commented 5 hours ago

Describe the bug query_embedder, retriever Connecting components raises an error.

Error message PipelineConnectError: 'query_embedder.embedding does not exist. Output connections of query_embedder are: documents (type List[Document])

Expected behavior Not raise any errors. Connect is made between query and retriever

To Reproduce

FAQ Check

System:

anakin87 commented 4 hours ago

Hello!

This tutorial can help you understand how to build a RAG pipeline with embedding retrieval.

In case you still need help, please provide a reproducible code example.