chore(docs): fix llamaindex link in readme (#8305)

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ckaznable
2026-03-07 03:09:33 +08:00
committed by generall
parent 5d74df25e5
commit a7fb7ef78e

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@@ -224,7 +224,7 @@ Examples and/or documentation of Qdrant integrations:
- [DocArray](https://docs.docarray.org/user_guide/storing/index_qdrant/) - Use Qdrant as a document store in DocArray
- [Haystack](https://haystack.deepset.ai/integrations/qdrant-document-store) - Use Qdrant as a document store with Haystack ([blogpost](https://haystack.deepset.ai/blog/qdrant-integration)).
- [LangChain](https://python.langchain.com/docs/integrations/providers/qdrant/) ([blogpost](https://qdrant.tech/articles/langchain-integration/)) - Use Qdrant as a memory backend for LangChain.
- [LlamaIndex](https://gpt-index.readthedocs.io/en/latest/examples/vector_stores/QdrantIndexDemo.html) - Use Qdrant as a Vector Store with LlamaIndex.
- [LlamaIndex](https://developers.llamaindex.ai/python/framework/integrations/vector_stores/qdrantindexdemo/) - Use Qdrant as a Vector Store with LlamaIndex.
- [OpenAI - ChatGPT retrieval plugin](https://github.com/openai/chatgpt-retrieval-plugin/blob/main/docs/providers/qdrant/setup.md) - Use Qdrant as a memory backend for ChatGPT
- [Microsoft Semantic Kernel](https://devblogs.microsoft.com/semantic-kernel/the-power-of-persistent-memory-with-semantic-kernel-and-qdrant-vector-database/) - Use Qdrant as persistent memory with Semantic Kernel