2.4 KiB
2.4 KiB
Usage
Running Server
# Locally
minyma server run
# Docker Quick Start
make docker_build_local
docker run \
-p 5000:5000 \
-e OPENAI_API_KEY=`cat openai_key` \
-e DATA_PATH=/data \
-v ./data:/data \
minyma:latest
The server will now be accessible at http://localhost:5000
Normalizing & Loading Data
Minyma is designed to be extensible. You can add normalizers and vector db's
using the appropriate interfaces defined in ./minyma/normalizer.py and
./minyma/vdb.py. At the moment the only supported database is chroma
and the only supported normalizer is the pubmed normalizer.
To normalize data, you can use Minyma's normalize CLI command:
minyma normalize --filename ./pubmed_manuscripts.jsonl --normalizer pubmed --database chroma --datapath ./chroma
The above example does the following:
- Uses the
pubmednormalizer - Normalizes the
./pubmed_manuscripts.jsonlraw dataset [0] - Loads the output into a
chromadatabase and persists the data to the./chromadirectory
NOTE: The above dataset took about an hour to normalize on my MPB M2 Max
[0] https://huggingface.co/datasets/TaylorAI/pubmed_author_manuscripts/tree/main
Development
# Initiate
python3 -m venv venv
. ./venv/bin/activate
# Local Development
pip install -e .
# Creds
export OPENAI_API_KEY=`cat openai_key`
Datasets
https://huggingface.co/datasets/TaylorAI/pubmed_author_manuscripts/tree/main
Notes
- https://docs.pinecone.io/docs/openai
- https://docs.pinecone.io/docs/langchain
- https://docs.pinecone.io/docs/langchain#creating-embeddings
- https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb
- https://medium.com/@abhishekranjandev/building-a-speech-recognition-app-with-deepspeech-word2vec-and-pinecone-1e5907d103e2
- https://medium.com/@mishra.thedeepak/doc2vec-simple-implementation-example-df2afbbfbad5
- https://cookbook.openai.com/examples/semantic_text_search_using_embeddings
TODO:
- Build this with Word2Vec / Doc2Vec: https://docs.pinecone.io/docs/openai
- https://radimrehurek.com/gensim/auto_examples/tutorials/run_doc2vec_lee.html#sphx-glr-auto-examples-tutorials-run-doc2vec-lee-py
- https://webcache.googleusercontent.com/search?q=cache:https://medium.com/@rubentak/unleashing-the-power-of-intelligent-chatbots-with-gpt-4-and-vector-databases-a-step-by-step-8027e2ce9e78