RAG-project

To start:

Clone this repository
Install dependencies into a new conda environment using the environment.yml file
Set your OPENAI API key in the OPENAI_API_KEY environment variable.
Install redis locally and start a local instance. https://redis.io/docs/latest/operate/oss_and_stack/install/install-redis/
Run the notebooks to replicate the results:
- conversational_engine.ipynb
- search_engine.ipynb
- semantic_cache.ipynb
Run the notebook, might take a while without GPU.

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
data		data
embeds		embeds
submodules		submodules
.DS_Store		.DS_Store
.gitmodules		.gitmodules
Download_BeerQA.ipynb		Download_BeerQA.ipynb
Poster_for_RAG.pdf		Poster_for_RAG.pdf
README.md		README.md
Test_CoQA.ipynb		Test_CoQA.ipynb
beerqa_subset.json		beerqa_subset.json
cache.py		cache.py
cache_file.json		cache_file.json
conversational_engine.ipynb		conversational_engine.ipynb
documents.txt		documents.txt
environment.yml		environment.yml
example.html		example.html
graphing_latency.ipynb		graphing_latency.ipynb
intra_session_hit_rate.ipynb		intra_session_hit_rate.ipynb
keys.txt		keys.txt
neo4j.ipynb		neo4j.ipynb
query_engine.py		query_engine.py
requirements.txt		requirements.txt
search_engine.ipynb		search_engine.ipynb
semantic_cache.ipynb		semantic_cache.ipynb
test_custom_query.ipynb		test_custom_query.ipynb
test_query_engine.ipynb		test_query_engine.ipynb
triplet_indexer.py		triplet_indexer.py
utils.py		utils.py
vector_store.ipynb		vector_store.ipynb

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