From e2bc8f19c0745ce1856fe08e3f5294f2de8802a8 Mon Sep 17 00:00:00 2001 From: Kanav Bansal <13186335+bansalkanav@users.noreply.github.com> Date: Wed, 30 Jul 2025 19:16:01 +0530 Subject: [PATCH] docs(docs): update RAG tutorials link across multiple vector store docs (AstraDB, DatabricksVectorSearch, FAISS, Redis, etc.) (#32301) ## **Description:** This PR updates the internal documentation link for the RAG tutorials to reflect the updated path. Previously, the link pointed to the root `/docs/tutorials/`, which was generic. It now correctly routes to the RAG-specific tutorial page for the following vector store docs. 1. AstraDBVectorStore 2. Clickhouse 3. CouchbaseSearchVectorStore 4. DatabricksVectorSearch 5. ElasticsearchStore 6. FAISS 7. Milvus 8. MongoDBAtlasVectorSearch 9. openGauss 10. PGVector 11. PGVectorStore 12. PineconeVectorStore 13. QdrantVectorStore 14. Redis 15. SQLServer ## **Issue:** N/A ## **Dependencies:** None ## **Twitter handle:** N/A --- docs/docs/integrations/vectorstores/astradb.ipynb | 2 +- docs/docs/integrations/vectorstores/clickhouse.ipynb | 2 +- docs/docs/integrations/vectorstores/couchbase.ipynb | 2 +- .../integrations/vectorstores/databricks_vector_search.ipynb | 2 +- docs/docs/integrations/vectorstores/elasticsearch.ipynb | 2 +- docs/docs/integrations/vectorstores/faiss.ipynb | 2 +- docs/docs/integrations/vectorstores/milvus.ipynb | 2 +- docs/docs/integrations/vectorstores/mongodb_atlas.ipynb | 2 +- docs/docs/integrations/vectorstores/opengauss.ipynb | 2 +- docs/docs/integrations/vectorstores/pgvector.ipynb | 2 +- docs/docs/integrations/vectorstores/pgvectorstore.ipynb | 1 + docs/docs/integrations/vectorstores/pinecone.ipynb | 2 +- docs/docs/integrations/vectorstores/qdrant.ipynb | 2 +- docs/docs/integrations/vectorstores/redis.ipynb | 2 +- docs/docs/integrations/vectorstores/sqlserver.ipynb | 2 +- 15 files changed, 15 insertions(+), 14 deletions(-) diff --git a/docs/docs/integrations/vectorstores/astradb.ipynb b/docs/docs/integrations/vectorstores/astradb.ipynb index 0e1e7b02743..b2ed0408d57 100644 --- a/docs/docs/integrations/vectorstores/astradb.ipynb +++ b/docs/docs/integrations/vectorstores/astradb.ipynb @@ -606,7 +606,7 @@ "\n", "For guides on how to use this vector store for retrieval-augmented generation (RAG), see the following sections:\n", "\n", - "- [Tutorials](/docs/tutorials/)\n", + "- [Tutorials](/docs/tutorials/rag)\n", "- [How-to: Question and answer with RAG](https://python.langchain.com/docs/how_to/#qa-with-rag)\n", "- [Retrieval conceptual docs](https://python.langchain.com/docs/concepts/retrieval)" ] diff --git a/docs/docs/integrations/vectorstores/clickhouse.ipynb b/docs/docs/integrations/vectorstores/clickhouse.ipynb index 8c47cbb64d6..2498a16a5c8 100644 --- a/docs/docs/integrations/vectorstores/clickhouse.ipynb +++ b/docs/docs/integrations/vectorstores/clickhouse.ipynb @@ -358,7 +358,7 @@ "\n", "For guides on how to use this vector store for retrieval-augmented generation (RAG), see the following sections:\n", "\n", - "- [Tutorials](/docs/tutorials/)\n", + "- [Tutorials](/docs/tutorials/rag)\n", "- [How-to: Question and answer with RAG](https://python.langchain.com/docs/how_to/#qa-with-rag)\n", "- [Retrieval conceptual docs](https://python.langchain.com/docs/concepts/retrieval)" ] diff --git a/docs/docs/integrations/vectorstores/couchbase.ipynb b/docs/docs/integrations/vectorstores/couchbase.ipynb index 01922fae4e3..c9e44a50bd4 100644 --- a/docs/docs/integrations/vectorstores/couchbase.ipynb +++ b/docs/docs/integrations/vectorstores/couchbase.ipynb @@ -918,7 +918,7 @@ "\n", "For guides on how to use this vector store for retrieval-augmented generation (RAG), see the following sections:\n", "\n", - "- [Tutorials](/docs/tutorials/)\n", + "- [Tutorials](/docs/tutorials/rag)\n", "- [How-to: Question and answer with RAG](https://python.langchain.com/docs/how_to/#qa-with-rag)\n", "- [Retrieval conceptual docs](https://python.langchain.com/docs/concepts/retrieval)" ] diff --git a/docs/docs/integrations/vectorstores/databricks_vector_search.ipynb b/docs/docs/integrations/vectorstores/databricks_vector_search.ipynb index 77a046d9c91..b8bb0efe68c 100644 --- a/docs/docs/integrations/vectorstores/databricks_vector_search.ipynb +++ b/docs/docs/integrations/vectorstores/databricks_vector_search.ipynb @@ -494,7 +494,7 @@ "\n", "For guides on how to use this vector store for retrieval-augmented generation (RAG), see the following sections:\n", "\n", - "- [Tutorials](/docs/tutorials/)\n", + "- [Tutorials](/docs/tutorials/rag)\n", "- [How-to: Question and answer with RAG](https://python.langchain.com/docs/how_to/#qa-with-rag)\n", "- [Retrieval conceptual docs](https://python.langchain.com/docs/concepts/retrieval)" ] diff --git a/docs/docs/integrations/vectorstores/elasticsearch.ipynb b/docs/docs/integrations/vectorstores/elasticsearch.ipynb index 6bc0c0c6ce1..180c17aa22b 100644 --- a/docs/docs/integrations/vectorstores/elasticsearch.ipynb +++ b/docs/docs/integrations/vectorstores/elasticsearch.ipynb @@ -940,7 +940,7 @@ "\n", "For guides on how to use this vector store for retrieval-augmented generation (RAG), see the following sections:\n", "\n", - "- [Tutorials](/docs/tutorials/)\n", + "- [Tutorials](/docs/tutorials/rag)\n", "- [How-to: Question and answer with RAG](https://python.langchain.com/docs/how_to/#qa-with-rag)\n", "- [Retrieval conceptual docs](https://python.langchain.com/docs/concepts/retrieval)" ] diff --git a/docs/docs/integrations/vectorstores/faiss.ipynb b/docs/docs/integrations/vectorstores/faiss.ipynb index f931db9ba80..5d64e514786 100644 --- a/docs/docs/integrations/vectorstores/faiss.ipynb +++ b/docs/docs/integrations/vectorstores/faiss.ipynb @@ -410,7 +410,7 @@ "\n", "For guides on how to use this vector store for retrieval-augmented generation (RAG), see the following sections:\n", "\n", - "- [Tutorials](/docs/tutorials/)\n", + "- [Tutorials](/docs/tutorials/rag)\n", "- [How-to: Question and answer with RAG](https://python.langchain.com/docs/how_to/#qa-with-rag)\n", "- [Retrieval conceptual docs](https://python.langchain.com/docs/concepts/retrieval)" ] diff --git a/docs/docs/integrations/vectorstores/milvus.ipynb b/docs/docs/integrations/vectorstores/milvus.ipynb index 8745e7d0f60..94b1d2c3f35 100644 --- a/docs/docs/integrations/vectorstores/milvus.ipynb +++ b/docs/docs/integrations/vectorstores/milvus.ipynb @@ -671,7 +671,7 @@ "\n", "For guides on how to use this vector store for retrieval-augmented generation (RAG), see the following sections:\n", "\n", - "- [Tutorials](/docs/tutorials/)\n", + "- [Tutorials](/docs/tutorials/rag)\n", "- [How-to: Question and answer with RAG](https://python.langchain.com/docs/how_to/#qa-with-rag)\n", "- [Retrieval conceptual docs](https://python.langchain.com/docs/concepts/retrieval)" ] diff --git a/docs/docs/integrations/vectorstores/mongodb_atlas.ipynb b/docs/docs/integrations/vectorstores/mongodb_atlas.ipynb index d44367f4c07..dfee5a5178e 100644 --- a/docs/docs/integrations/vectorstores/mongodb_atlas.ipynb +++ b/docs/docs/integrations/vectorstores/mongodb_atlas.ipynb @@ -488,7 +488,7 @@ "\n", "For guides on how to use this vector store for retrieval-augmented generation (RAG), see the following sections:\n", "\n", - "- [Tutorials](/docs/tutorials/)\n", + "- [Tutorials](/docs/tutorials/rag)\n", "- [How-to: Question and answer with RAG](https://python.langchain.com/docs/how_to/#qa-with-rag)\n", "- [Retrieval conceptual docs](https://python.langchain.com/docs/concepts/retrieval)" ] diff --git a/docs/docs/integrations/vectorstores/opengauss.ipynb b/docs/docs/integrations/vectorstores/opengauss.ipynb index 28e9b1183d3..a0540c2ba45 100644 --- a/docs/docs/integrations/vectorstores/opengauss.ipynb +++ b/docs/docs/integrations/vectorstores/opengauss.ipynb @@ -264,7 +264,7 @@ "\n", "For guides on how to use this vector store for retrieval-augmented generation (RAG), see the following sections:\n", "\n", - "- [Tutorials](/docs/tutorials/)\n", + "- [Tutorials](/docs/tutorials/rag)\n", "- [How-to: Question and answer with RAG](https://python.langchain.com/docs/how_to/#qa-with-rag)\n", "- [Retrieval conceptual docs](https://python.langchain.com/docs/concepts/retrieval/)" ] diff --git a/docs/docs/integrations/vectorstores/pgvector.ipynb b/docs/docs/integrations/vectorstores/pgvector.ipynb index f02700abb06..a31c300dddf 100644 --- a/docs/docs/integrations/vectorstores/pgvector.ipynb +++ b/docs/docs/integrations/vectorstores/pgvector.ipynb @@ -435,7 +435,7 @@ "\n", "For guides on how to use this vector store for retrieval-augmented generation (RAG), see the following sections:\n", "\n", - "- [Tutorials](/docs/tutorials/)\n", + "- [Tutorials](/docs/tutorials/rag)\n", "- [How-to: Question and answer with RAG](https://python.langchain.com/docs/how_to/#qa-with-rag)\n", "- [Retrieval conceptual docs](https://python.langchain.com/docs/concepts/retrieval)" ] diff --git a/docs/docs/integrations/vectorstores/pgvectorstore.ipynb b/docs/docs/integrations/vectorstores/pgvectorstore.ipynb index f770b4fe5ea..2b0edced75a 100644 --- a/docs/docs/integrations/vectorstores/pgvectorstore.ipynb +++ b/docs/docs/integrations/vectorstores/pgvectorstore.ipynb @@ -741,6 +741,7 @@ "\n", "For guides on how to use this vector store for retrieval-augmented generation (RAG), see the following sections:\n", "\n", + "- [Tutorials](/docs/tutorials/rag)\n", "- [How-to: Question and answer with RAG](https://python.langchain.com/docs/how_to/#qa-with-rag)\n", "- [Retrieval conceptual docs](https://python.langchain.com/docs/concepts/retrieval)" ] diff --git a/docs/docs/integrations/vectorstores/pinecone.ipynb b/docs/docs/integrations/vectorstores/pinecone.ipynb index 7f8b4dad393..4bb17e72b75 100644 --- a/docs/docs/integrations/vectorstores/pinecone.ipynb +++ b/docs/docs/integrations/vectorstores/pinecone.ipynb @@ -342,7 +342,7 @@ "\n", "For guides on how to use this vector store for retrieval-augmented generation (RAG), see the following sections:\n", "\n", - "- [Tutorials](/docs/tutorials/)\n", + "- [Tutorials](/docs/tutorials/rag)\n", "- [How-to: Question and answer with RAG](https://python.langchain.com/docs/how_to/#qa-with-rag)\n", "- [Retrieval conceptual docs](https://python.langchain.com/docs/concepts/retrieval)" ] diff --git a/docs/docs/integrations/vectorstores/qdrant.ipynb b/docs/docs/integrations/vectorstores/qdrant.ipynb index d4f8acaaedf..c863e4ccf4e 100644 --- a/docs/docs/integrations/vectorstores/qdrant.ipynb +++ b/docs/docs/integrations/vectorstores/qdrant.ipynb @@ -749,7 +749,7 @@ "\n", "For guides on how to use this vector store for retrieval-augmented generation (RAG), see the following sections:\n", "\n", - "- [Tutorials](/docs/tutorials/)\n", + "- [Tutorials](/docs/tutorials/rag)\n", "- [How-to: Question and answer with RAG](https://python.langchain.com/docs/how_to/#qa-with-rag)\n", "- [Retrieval conceptual docs](https://python.langchain.com/docs/concepts/retrieval)" ] diff --git a/docs/docs/integrations/vectorstores/redis.ipynb b/docs/docs/integrations/vectorstores/redis.ipynb index ae92648b38b..7b63459f3f3 100644 --- a/docs/docs/integrations/vectorstores/redis.ipynb +++ b/docs/docs/integrations/vectorstores/redis.ipynb @@ -762,7 +762,7 @@ "\n", "For guides on how to use this vector store for retrieval-augmented generation (RAG), see the following sections:\n", "\n", - "- [Tutorials](/docs/tutorials/)\n", + "- [Tutorials](/docs/tutorials/rag)\n", "- [How-to: Question and answer with RAG](https://python.langchain.com/docs/how_to/#qa-with-rag)\n", "- [Retrieval conceptual docs](https://python.langchain.com/docs/concepts/retrieval)" ] diff --git a/docs/docs/integrations/vectorstores/sqlserver.ipynb b/docs/docs/integrations/vectorstores/sqlserver.ipynb index 2e6ee2a33c9..768708e9fa4 100644 --- a/docs/docs/integrations/vectorstores/sqlserver.ipynb +++ b/docs/docs/integrations/vectorstores/sqlserver.ipynb @@ -756,7 +756,7 @@ "\n", "The LangChain Vector store simplifies building sophisticated Q&A systems by enabling efficient similarity searches to find the top 10 relevant documents based on the user's query. The **retriever** is created from the **vector\\_store,** and the question-answer chain is built using the **create\\_stuff\\_documents\\_chain** function. A prompt template is crafted using the **ChatPromptTemplate** class, ensuring structured and context-rich responses. Often in Q&A applications it's important to show users the sources that were used to generate the answer. LangChain's built-in **create\\_retrieval\\_chain** will propagate retrieved source documents to the output under the \"context\" key:\n", "\n", - "Read more about Langchain RAG tutorials & the terminologies mentioned above [here](https:/python.langchain.com/docs/tutorials/rag)" + "Read more about Langchain RAG tutorials & the terminologies mentioned above [here](/docs/tutorials/rag)" ] }, {