Only open-source in ecosystem integrations? #11611
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🤖 Hi Lukas, Thank you for your interest in integrating Vectorview with LangChain! To answer your question, it is not a requirement for Vectorview to be open-source in order to be part of LangChain's ecosystem and add an integration through a callback. LangChain supports a variety of vector stores, some of which are open-source (like Elasticsearch, Annoy, FAISS, etc.) and others which are not (like AlibabaCloudOpenSearch, AzureSearch, etc.). This indicates that LangChain's ecosystem is not limited to open-source solutions. You can find this information in the vectorstores init.py file. As for the process of adding a new integration, I couldn't find specific documentation within the repository. However, making a PR with your proposed integration would be a good start. Please ensure that your PR includes comprehensive documentation and tests for the new integration. If you need any further assistance, feel free to ask. Best regards, SourcesThis response is meant to be useful and save you time. It is not meant to be a precise solution, but rather a starting point for your own research. Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant. If you want to continue the conversation, start your reply with @dosu-bot. |
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Hi!
I am the creator of Vectorview an analytics tool for semantic search.
We would love to be part of langchain's ecosystem and add an integration through a callback.
We have not had time to build the self-hosted open source version of vectorview yet, we only have a hosted version (with free trail).
I wonder, is beeing open-source a requirement for being part of langchain?
Otherwise I would be happy to make a PR asap :)
Kind regards, Lukas
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