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https://github.com/hwchase17/langchain
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Fixing deeplake.mdx file as it uses outdates links (#9602)
deeplake.mdx was using old links and was not working properly, in the PR we fix the issue.
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@ -2071,8 +2071,8 @@
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"PromptLayer": "https://python.langchain.com/docs/integrations/providers/promptlayer",
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"PromptLayer OpenAI": "https://python.langchain.com/docs/integrations/llms/promptlayer_openai"
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},
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"DeepLake": {
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"Deep Lake": "https://python.langchain.com/docs/integrations/providers/deeplake",
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"Activeloop DeepLake": {
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"Deep Lake": "https://python.langchain.com/docs/integrations/providers/activeloop_deeplake",
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"Activeloop's Deep Lake": "https://python.langchain.com/docs/integrations/vectorstores/activeloop_deeplake",
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"Analysis of Twitter the-algorithm source code with LangChain, GPT4 and Activeloop's Deep Lake": "https://python.langchain.com/docs/use_cases/question_answering/how_to/code/twitter-the-algorithm-analysis-deeplake",
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"Use LangChain, GPT and Activeloop's Deep Lake to work with code base": "https://python.langchain.com/docs/use_cases/question_answering/how_to/code/code-analysis-deeplake",
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@ -166,7 +166,7 @@
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},
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{
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"source": "/docs/integrations/deeplake",
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"destination": "/docs/integrations/providers/deeplake"
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"destination": "/docs/integrations/providers/activeloop_deeplake"
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},
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{
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"source": "/docs/integrations/diffbot",
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@ -1,4 +1,4 @@
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# Deep Lake
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# Activeloop Deep Lake
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This page covers how to use the Deep Lake ecosystem within LangChain.
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## Why Deep Lake?
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@ -6,9 +6,15 @@ This page covers how to use the Deep Lake ecosystem within LangChain.
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- Not only stores embeddings, but also the original data with automatic version control.
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- Truly serverless. Doesn't require another service and can be used with major cloud providers (AWS S3, GCS, etc.)
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Activeloop Deep Lake supports SelfQuery Retrieval:
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[Activeloop Deep Lake Self Query Retrieval](/docs/extras/modules/data_connection/retrievers/self_query/activeloop_deeplake_self_query)
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## More Resources
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1. [Ultimate Guide to LangChain & Deep Lake: Build ChatGPT to Answer Questions on Your Financial Data](https://www.activeloop.ai/resources/ultimate-guide-to-lang-chain-deep-lake-build-chat-gpt-to-answer-questions-on-your-financial-data/)
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2. [Twitter the-algorithm codebase analysis with Deep Lake](../use_cases/code/twitter-the-algorithm-analysis-deeplake.html)
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2. [Twitter the-algorithm codebase analysis with Deep Lake](/docs/use_cases/question_answering/how_to/code/twitter-the-algorithm-analysis-deeplake)
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4. [Code Understanding](/docs/modules/data_connection/retrievers/self_query/activeloop_deeplake_self_query)
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3. Here is [whitepaper](https://www.deeplake.ai/whitepaper) and [academic paper](https://arxiv.org/pdf/2209.10785.pdf) for Deep Lake
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4. Here is a set of additional resources available for review: [Deep Lake](https://github.com/activeloopai/deeplake), [Get started](https://docs.activeloop.ai/getting-started) and [Tutorials](https://docs.activeloop.ai/hub-tutorials)
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@ -27,4 +33,4 @@ from langchain.vectorstores import DeepLake
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```
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For a more detailed walkthrough of the Deep Lake wrapper, see [this notebook](/docs/integrations/vectorstores/deeplake.html)
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For a more detailed walkthrough of the Deep Lake wrapper, see [this notebook](/docs/integrations/vectorstores/activeloop_deeplake)
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