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Fixing deeplake.mdx file as it uses outdates links (#9602)

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deeplake.mdx was using old links and was not working properly, in the PR
we fix the issue.
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Adilkhan Sarsen 2023-08-23 04:12:24 +06:00 committed by GitHub
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3 changed files with 12 additions and 6 deletions
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4
docs/api_reference/guide_imports.json
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@ -2071,8 +2071,8 @@
"PromptLayer": "https://python.langchain.com/docs/integrations/providers/promptlayer", "PromptLayer": "https://python.langchain.com/docs/integrations/providers/promptlayer",
"PromptLayer OpenAI": "https://python.langchain.com/docs/integrations/llms/promptlayer_openai" "PromptLayer OpenAI": "https://python.langchain.com/docs/integrations/llms/promptlayer_openai"
}, },
"DeepLake": { "Activeloop DeepLake": {
"Deep Lake": "https://python.langchain.com/docs/integrations/providers/deeplake", "Deep Lake": "https://python.langchain.com/docs/integrations/providers/activeloop_deeplake",
"Activeloop's Deep Lake": "https://python.langchain.com/docs/integrations/vectorstores/activeloop_deeplake", "Activeloop's Deep Lake": "https://python.langchain.com/docs/integrations/vectorstores/activeloop_deeplake",
"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", "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",
"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", "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",

2
docs/docs_skeleton/vercel.json
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@ -166,7 +166,7 @@
}, },
{ {
"source": "/docs/integrations/deeplake", "source": "/docs/integrations/deeplake",
"destination": "/docs/integrations/providers/deeplake" "destination": "/docs/integrations/providers/activeloop_deeplake"
}, },
{ {
"source": "/docs/integrations/diffbot", "source": "/docs/integrations/diffbot",

12
docs/extras/integrations/providers/deeplake.mdx → docs/extras/integrations/providers/activeloop_deeplake.mdx
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@ -1,4 +1,4 @@
# Deep Lake # Activeloop Deep Lake
This page covers how to use the Deep Lake ecosystem within LangChain. This page covers how to use the Deep Lake ecosystem within LangChain.
## Why Deep Lake? ## Why Deep Lake?
@ -6,9 +6,15 @@ This page covers how to use the Deep Lake ecosystem within LangChain.
- Not only stores embeddings, but also the original data with automatic version control. - Not only stores embeddings, but also the original data with automatic version control.
- Truly serverless. Doesn't require another service and can be used with major cloud providers (AWS S3, GCS, etc.) - Truly serverless. Doesn't require another service and can be used with major cloud providers (AWS S3, GCS, etc.)
Activeloop Deep Lake supports SelfQuery Retrieval:
[Activeloop Deep Lake Self Query Retrieval](/docs/extras/modules/data_connection/retrievers/self_query/activeloop_deeplake_self_query)
## More Resources ## More Resources
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/) 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/)
2. [Twitter the-algorithm codebase analysis with Deep Lake](../use_cases/code/twitter-the-algorithm-analysis-deeplake.html) 2. [Twitter the-algorithm codebase analysis with Deep Lake](/docs/use_cases/question_answering/how_to/code/twitter-the-algorithm-analysis-deeplake)
4. [Code Understanding](/docs/modules/data_connection/retrievers/self_query/activeloop_deeplake_self_query)
3. Here is [whitepaper](https://www.deeplake.ai/whitepaper) and [academic paper](https://arxiv.org/pdf/2209.10785.pdf) for Deep Lake 3. Here is [whitepaper](https://www.deeplake.ai/whitepaper) and [academic paper](https://arxiv.org/pdf/2209.10785.pdf) for Deep Lake
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) 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)
@ -27,4 +33,4 @@ from langchain.vectorstores import DeepLake
``` ```
For a more detailed walkthrough of the Deep Lake wrapper, see [this notebook](/docs/integrations/vectorstores/deeplake.html) For a more detailed walkthrough of the Deep Lake wrapper, see [this notebook](/docs/integrations/vectorstores/activeloop_deeplake)