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fix: broken links, images (#475)
* fix: broken links, images * fix: aliases
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Anush
@@ -1,7 +1,7 @@
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---
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title: Airbyte
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weight: 1000
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aliases: [ /integrations/airbyte/ ]
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aliases: [ ../integrations/airbyte/ ]
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---
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# Airbyte
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@@ -34,7 +34,7 @@ Before you start, make sure you have the following:
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Once you have a running instance of Airbyte, you can set up Qdrant as a destination directly in the UI.
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Airbyte's Qdrant destination is connected with a single collection in Qdrant.
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### Text processing
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@@ -42,26 +42,26 @@ Airbyte has some built-in mechanisms to transform your texts into embeddings. Yo
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chunk your fields into pieces before calculating the embeddings, but also which fields should be used to
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create the point payload.
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### Embeddings
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You can choose the model that will be used to calculate the embeddings. Currently, Airbyte supports multiple
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models, including OpenAI and Cohere.
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Using some precomputed embeddings from your data source is also possible. In this case, you can pass the field
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name containing the embeddings and their dimensionality.
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### Qdrant connection details
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Finally, we can configure the target Qdrant instance and collection. In case you use the built-in authentication
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mechanism, here is where you can pass the token.
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Once you confirm creating the destination, Airbyte will test if a specified Qdrant cluster is accessible and
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might be used as a destination.
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@@ -72,7 +72,7 @@ Airbyte combines sources and destinations into a single entity called a connecti
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configured and a source, you can create a connection between them. It doesn't matter what source you use, as
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long as Airbyte supports it. The process is pretty straightforward, but depends on the source you use.
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More information about creating connections can be found in the
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[Airbyte documentation](https://docs.airbyte.com/understanding-airbyte/connections/).
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@@ -1,7 +1,7 @@
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---
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title: Autogen
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weight: 1200
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aliases: [ /integrations/autogen/ ]
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aliases: [ ../integrations/autogen/ ]
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---
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# Microsoft Autogen
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@@ -100,4 +100,4 @@ ragproxyagent.initiate_chat(assistant, problem=code_problem)
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## Next steps
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Check out more Autogen [examples](https://microsoft.github.io/autogen/docs/Examples/AgentChat). You can find detailed documentation about AutoGen [here](https://microsoft.github.io/autogen/).
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Check out more Autogen [examples](https://microsoft.github.io/autogen/docs/Examples). You can find detailed documentation about AutoGen [here](https://microsoft.github.io/autogen/).
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@@ -1,14 +1,14 @@
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---
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title: Cheshire Cat
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weight: 600
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aliases: [ /integrations/cheshire-cat/ ]
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aliases: [ ../integrations/cheshire-cat/ ]
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---
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# Cheshire Cat
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[Cheshire Cat](https://cheshirecat.ai/) is an open-source framework that allows you to develop intelligent agents on top of many Large Language Models (LLM). You can develop your custom AI architecture to assist you in a wide range of tasks.
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## Cheshire Cat and Qdrant
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@@ -30,7 +30,7 @@ Cheshire Cat takes great advantage of the following features of Qdrant:
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* [Snapshots](../../concepts/snapshots/) to not miss any information.
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* [Community](https://discord.com/invite/tdtYvXjC4h)
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## How to use the Cheshire Cat
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---
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title: DLT
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weight: 1300
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aliases: [ /integrations/dlt/ ]
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aliases: [ ../integrations/dlt/ ]
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---
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# DLT(Data Load Tool)
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@@ -1,7 +1,7 @@
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---
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title: DocArray
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weight: 300
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aliases: [ /integrations/docarray/ ]
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aliases: [ ../integrations/docarray/ ]
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---
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# DocArray
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---
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title: Stanford DSPy
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weight: 1500
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aliases: [ /integrations/dspy/ ]
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aliases: [ ../integrations/dspy/ ]
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---
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# Stanford DSPy
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---
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title: FiftyOne
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weight: 600
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aliases: [ /integrations/fifty-one/ ]
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aliases: [ ../integrations/fifty-one ]
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---
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# FiftyOne
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@@ -1,7 +1,7 @@
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---
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title: ML6 Fondant
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weight: 1700
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aliases: [ /integrations/fondant/ ]
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aliases: [ ../integrations/fondant/ ]
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---
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# ML6 Fondant
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---
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title: Haystack
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weight: 400
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aliases: [ /integrations/haystack/ ]
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aliases: [ ../integrations/haystack/ ]
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---
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# Haystack
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@@ -1,7 +1,7 @@
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---
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title: LangChain
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weight: 100
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aliases: [ /integrations/langchain/ ]
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aliases: [ ../integrations/langchain/ ]
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---
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# LangChain
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@@ -1,7 +1,7 @@
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---
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title: LlamaIndex
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weight: 200
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aliases: [ /integrations/llama-index/ ]
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aliases: [ ../integrations/llama-index/ ]
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---
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# LlamaIndex (GPT Index)
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@@ -1,7 +1,7 @@
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---
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title: MindsDB
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weight: 1100
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aliases: [ /integrations/mindsdb/ ]
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aliases: [ ../integrations/mindsdb/ ]
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---
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# MindsDB
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@@ -1,7 +1,7 @@
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---
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title: PrivateGPT
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weight: 1600
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aliases: [ /integrations/privategpt/ ]
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aliases: [ ../integrations/privategpt/ ]
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---
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# PrivateGPT
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@@ -1,7 +1,7 @@
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---
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title: Apache Spark
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weight: 1400
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aliases: [ /integrations/spark/ ]
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aliases: [ ../integrations/spark/ ]
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---
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# Apache Spark
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@@ -1,7 +1,7 @@
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---
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title: txtai
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weight: 500
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aliases: [ /integrations/txtai/ ]
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aliases: [ ../integrations/txtai/ ]
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---
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# txtai
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