github/langchain
1
0
Fork 0
mirror of https://github.com/hwchase17/langchain.git synced 2025-09-04 04:28:58 +00:00
Code Issues Packages Projects Releases Wiki Activity

Deep Lake retriever example analyzing Twitter the-algorithm source code (#2602)

Browse Source 
Improvements to Deep Lake Vector Store
- much faster view loading of embeddings after filters with
`fetch_chunks=True`
- 2x faster ingestion
- use np.float32 for embeddings to save 2x storage, LZ4 compression for
text and metadata storage (saves up to 4x storage for text data)
- user defined functions as filters

Docs
- Added retriever full example for analyzing twitter the-algorithm
source code with GPT4
- Added a use case for code analysis (please let us know your thoughts
how we can improve it)

---------

Co-authored-by: Davit Buniatyan <d@activeloop.ai>
This commit is contained in:
Davit Buniatyan
2023-04-09 12:29:47 -07:00
committed by GitHub
parent 5c0c5fafb2
commit aaac7071a3
5 changed files with 527 additions and 26 deletions
Download Patch File Download Diff File Expand all files Collapse all files

5
docs/ecosystem/deeplake.md
View File

@@ -8,8 +8,9 @@ This page covers how to use the Deep Lake ecosystem within LangChain.
## 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. Here is [whitepaper](https://www.deeplake.ai/whitepaper) and [academic paper](https://arxiv.org/pdf/2209.10785.pdf) for Deep Lake
2. Here is a set of additional resources available for review: [Deep Lake](https://github.com/activeloopai/deeplake), [Getting Started](https://docs.activeloop.ai/getting-started) and [Tutorials](https://docs.activeloop.ai/hub-tutorials)
2. [Twitter the-algorithm codebase analysis with Deep Lake](../modules/indexes/retrievers/examples/twitter-the-algorithm-analysis-deeplake.ipynb)
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), [Getting Started](https://docs.activeloop.ai/getting-started) and [Tutorials](https://docs.activeloop.ai/hub-tutorials)
## Installation and Setup
- Install the Python package with `pip install deeplake`