diff --git a/qdrant-landing/content/documentation/tutorials/_index.md b/qdrant-landing/content/documentation/tutorials/_index.md index 55c906f5c..b61136947 100644 --- a/qdrant-landing/content/documentation/tutorials/_index.md +++ b/qdrant-landing/content/documentation/tutorials/_index.md @@ -12,21 +12,21 @@ aliases: These tutorials demonstrate different ways you can build vector search into your applications. -| Tutorial | Description | Stack | -|---------------------------------------------------------------------------------|------------------------------------------------------------------------------------------|--------------------------------------------------| -| [Configure Optimal Use](../tutorials/optimize/) | Configure Qdrant collections for best resource use. | Qdrant | -| [Separate Partitions](../tutorials/multiple-partitions/) | Serve vectors for many independent users. | Qdrant | -| [Bulk Upload Vectors](../tutorials/bulk-upload/) | Upload a large scale dataset. | Qdrant | -| [Create Dataset Snapshots](../tutorials/create-snapshot/) | Turn a dataset into a snapshot by exporting it from a collection. | Qdrant | -| [Semantic Search for Beginners](../tutorials/search-beginners/) | Create a simple search engine locally in minutes. | Qdrant | -| [Simple Neural Search](../tutorials/neural-search/) | Build and deploy a neural search that browses startup data. | Qdrant, BERT, FastAPI | -| [Aleph Alpha Search](../tutorials/aleph-alpha-search/) | Build a multimodal search that combines text and image data. | Qdrant, Aleph Alpha | -| [Mighty Semantic Search](../tutorials/mighty/) | Build a simple semantic search with an on-demand NLP service. | Qdrant, Mighty | -| [Asynchronous API](../tutorials/async-api/) | Communicate with Qdrant server asynchronously with Python SDK. | Qdrant, Python | -| [Multitenancy with LlamaIndex](../tutorials/llama-index-multitenancy/) | Handle data coming from multiple users in LlamaIndex. | Qdrant, Python, LlamaIndex | -| [HuggingFace datasets](../tutorials/huggingface-datasets/) | Load a Hugging Face dataset to Qdrant | Qdrant, Python, datasets | -| [Measure retrieval quality](../tutorials/retrieval-quality/) | Measure and fine-tune the retrieval quality | Qdrant, Python, datasets | -| [Use semantic search to navigate your codebase](../tutorials/code-search/) | Implement semantic search application for code search task | Qdrant, Python, sentence-transformers, Jina | -| [Implement custom connector for Cohere RAG](../tutorials/cohere-rag-connector/) | Bring data stored in Qdrant to Cohere RAG | Qdrant, Cohere, FastAPI | -| [Automate customer support](../tutorials/customer-support-oci-cohere-airbyte/) | Unleash your customer support team from answering the same questions over and over again | Qdrant, Cohere, Command-R, Oracle Cloud, Airbyte | -| [Troubleshooting](../tutorials/common-errors/) | Solutions to common errors and fixes | Qdrant | +| Tutorial | Description | Stack | +|---------------------------------------------------------------------------------|------------------------------------------------------------------------------------------|---------------------------------------------| +| [Configure Optimal Use](../tutorials/optimize/) | Configure Qdrant collections for best resource use. | Qdrant | +| [Separate Partitions](../tutorials/multiple-partitions/) | Serve vectors for many independent users. | Qdrant | +| [Bulk Upload Vectors](../tutorials/bulk-upload/) | Upload a large scale dataset. | Qdrant | +| [Create Dataset Snapshots](../tutorials/create-snapshot/) | Turn a dataset into a snapshot by exporting it from a collection. | Qdrant | +| [Semantic Search for Beginners](../tutorials/search-beginners/) | Create a simple search engine locally in minutes. | Qdrant | +| [Simple Neural Search](../tutorials/neural-search/) | Build and deploy a neural search that browses startup data. | Qdrant, BERT, FastAPI | +| [Aleph Alpha Search](../tutorials/aleph-alpha-search/) | Build a multimodal search that combines text and image data. | Qdrant, Aleph Alpha | +| [Mighty Semantic Search](../tutorials/mighty/) | Build a simple semantic search with an on-demand NLP service. | Qdrant, Mighty | +| [Asynchronous API](../tutorials/async-api/) | Communicate with Qdrant server asynchronously with Python SDK. | Qdrant, Python | +| [Multitenancy with LlamaIndex](../tutorials/llama-index-multitenancy/) | Handle data coming from multiple users in LlamaIndex. | Qdrant, Python, LlamaIndex | +| [HuggingFace datasets](../tutorials/huggingface-datasets/) | Load a Hugging Face dataset to Qdrant | Qdrant, Python, datasets | +| [Measure retrieval quality](../tutorials/retrieval-quality/) | Measure and fine-tune the retrieval quality | Qdrant, Python, datasets | +| [Use semantic search to navigate your codebase](../tutorials/code-search/) | Implement semantic search application for code search task | Qdrant, Python, sentence-transformers, Jina | +| [Implement custom connector for Cohere RAG](../tutorials/cohere-rag-connector/) | Bring data stored in Qdrant to Cohere RAG | Qdrant, Cohere, FastAPI | +| [Automate customer support](../tutorials/customer-support-cohere-airbyte/) | Unleash your customer support team from answering the same questions over and over again | Qdrant, Cohere, Command-R, Airbyte | +| [Troubleshooting](../tutorials/common-errors/) | Solutions to common errors and fixes | Qdrant | diff --git a/qdrant-landing/content/documentation/tutorials/customer-support-oci-cohere-airbyte.md b/qdrant-landing/content/documentation/tutorials/customer-support-cohere-airbyte.md similarity index 98% rename from qdrant-landing/content/documentation/tutorials/customer-support-oci-cohere-airbyte.md rename to qdrant-landing/content/documentation/tutorials/customer-support-cohere-airbyte.md index 6e9dbd433..d4ab88b55 100644 --- a/qdrant-landing/content/documentation/tutorials/customer-support-oci-cohere-airbyte.md +++ b/qdrant-landing/content/documentation/tutorials/customer-support-cohere-airbyte.md @@ -43,8 +43,6 @@ an ingestion pipeline and then a Retrieval Augmented Generation application that - **RAG:** Cohere [RAG](https://docs.cohere.com/docs/retrieval-augmented-generation-rag) using our knowledge base through a custom connector -[//]: # (TODO: the dataset has to be published somewhere) - All the selected components might be running on [Oracle Cloud](https://www.oracle.com/cloud/) infrastructure only. Thanks to the availability of the Cohere models on OCI, you can build a fully private customer support system that does not require any data to leave your infrastructure. @@ -118,18 +116,18 @@ use the following connectors: Airbyte UI will guide you through the process of setting up the source and destination and connecting them. Here is how the configuration of the source might look like: -![Airbyte source configuration](/documentation/tutorials/customer-support-oci-cohere-airbyte/airbyte-excel-source.png) +![Airbyte source configuration](/documentation/tutorials/customer-support-cohere-airbyte/airbyte-excel-source.png) Qdrant is our target destination, so we need to set up the connection to it. We need to specify which fields should be included to generate the embeddings. In our case it makes complete sense to embed just the questions, as we are going to look for similar questions asked in the past and provide the answers. -![Airbyte destination configuration](/documentation/tutorials/customer-support-oci-cohere-airbyte/airbyte-qdrant-destination.png) +![Airbyte destination configuration](/documentation/tutorials/customer-support-cohere-airbyte/airbyte-qdrant-destination.png) Once we have the destination set up, we can finally configure a connection. The connection will define the schedule of the data synchronization. -![Airbyte connection configuration](/documentation/tutorials/customer-support-oci-cohere-airbyte/airbyte-connection.png) +![Airbyte connection configuration](/documentation/tutorials/customer-support-cohere-airbyte/airbyte-connection.png) Airbyte should now be ready to accept any data updates from the source and load them into Qdrant. You can monitor the progress of the synchronization in the UI. diff --git a/qdrant-landing/static/documentation/frameworks/langchain4j-social-preview.png b/qdrant-landing/static/documentation/frameworks/langchain4j-social-preview.png deleted file mode 100644 index 177cc270d..000000000 Binary files a/qdrant-landing/static/documentation/frameworks/langchain4j-social-preview.png and /dev/null differ diff --git a/qdrant-landing/static/documentation/tutorials/customer-support-oci-cohere-airbyte/airbyte-connection.png b/qdrant-landing/static/documentation/tutorials/customer-support-cohere-airbyte/airbyte-connection.png similarity index 100% rename from qdrant-landing/static/documentation/tutorials/customer-support-oci-cohere-airbyte/airbyte-connection.png rename to qdrant-landing/static/documentation/tutorials/customer-support-cohere-airbyte/airbyte-connection.png diff --git a/qdrant-landing/static/documentation/tutorials/customer-support-oci-cohere-airbyte/airbyte-excel-source.png b/qdrant-landing/static/documentation/tutorials/customer-support-cohere-airbyte/airbyte-excel-source.png similarity index 100% rename from qdrant-landing/static/documentation/tutorials/customer-support-oci-cohere-airbyte/airbyte-excel-source.png rename to qdrant-landing/static/documentation/tutorials/customer-support-cohere-airbyte/airbyte-excel-source.png diff --git a/qdrant-landing/static/documentation/tutorials/customer-support-oci-cohere-airbyte/airbyte-qdrant-destination.png b/qdrant-landing/static/documentation/tutorials/customer-support-cohere-airbyte/airbyte-qdrant-destination.png similarity index 100% rename from qdrant-landing/static/documentation/tutorials/customer-support-oci-cohere-airbyte/airbyte-qdrant-destination.png rename to qdrant-landing/static/documentation/tutorials/customer-support-cohere-airbyte/airbyte-qdrant-destination.png