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Hey LangChain community! 👋 Excited to propose official documentation for our new openGauss integration that brings powerful vector capabilities to the stack! ### What's Inside 📦 1. **Full Integration Guide** Introducing [langchain-opengauss](https://pypi.org/project/langchain-opengauss/) on PyPI - your new toolkit for: 🔍 Native hybrid search (vectors + metadata) 🚀 Production-grade connection pooling 🧩 Automatic schema management 2. **Rigorous Testing Passed** ✅  - 100% non-async test coverage ps: Current implementation resides in my personal repository: https://github.com/mpb159753/langchain-opengauss, How can I transfer process to langchain-ai org?? *Keen to hear your thoughts and make this integration shine!* ✨ --------- Co-authored-by: Eugene Yurtsev <eugene@langchain.dev> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> |
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| .. | ||
| notebook_convert_templates/mdoutput | ||
| append_related_links.py | ||
| arxiv_references.py | ||
| cache_data.py | ||
| check_imports.py | ||
| check_templates.py | ||
| check-broken-links.js | ||
| create_chat_model_docstring_tables.py | ||
| document_loader_feat_table.py | ||
| execute_notebooks.sh | ||
| generate_api_reference_links.py | ||
| kv_store_feat_table.py | ||
| notebook_convert.py | ||
| packages_yml_get_downloads.py | ||
| partner_deps_list.py | ||
| partner_pkg_table.py | ||
| prepare_notebooks_for_ci.py | ||
| resolve_local_links.py | ||
| tool_feat_table.py | ||
| update_cassettes.sh | ||
| vectorstore_feat_table.py | ||