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)" ] }, {