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langchain/docs
Davit Buniatyan aaac7071a3
Deep Lake retriever example analyzing Twitter the-algorithm source code (#2602)
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>
2 years ago
..
_static Harrison/apify (#2215) 2 years ago
ecosystem Deep Lake retriever example analyzing Twitter the-algorithm source code (#2602) 2 years ago
getting_started bump version to 131 (#2391) 2 years ago
modules Deep Lake retriever example analyzing Twitter the-algorithm source code (#2602) 2 years ago
reference Harrison/llama (#2314) 2 years ago
tracing bump version to 131 (#2391) 2 years ago
use_cases Deep Lake retriever example analyzing Twitter the-algorithm source code (#2602) 2 years ago
Makefile Feature: linkcheck-action (#534) (#542) 2 years ago
conf.py Corrects copyright year (#1762) 2 years ago
deployments.md docs(deployment): add langchain-serve (#2006) 2 years ago
ecosystem.rst Docs refactor (#480) 2 years ago
gallery.rst docs: update gpt index references to LlamaIndex (#1856) 2 years ago
glossary.md big docs refactor (#1978) 2 years ago
index.rst Deep Lake retriever example analyzing Twitter the-algorithm source code (#2602) 2 years ago
make.bat initial commit 2 years ago
model_laboratory.ipynb big docs refactor (#1978) 2 years ago
reference.rst Feature: linkcheck-action (#534) (#542) 2 years ago
requirements.txt Harrison/docs reqs (#2199) 2 years ago
tracing.md Harrison/tracing docs (#806) 2 years ago