Data Stores

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Simple-to-Scale Database Options - integrated data stores from laptop to parallelized cluster.

from llmware.configs import LLMWareConfig

#   to set the collection database - mongo, sqlite, postgres  
LLMWareConfig().set_active_db("mongo")  

#   to set the vector database (or declare when installing)  
#   --options: milvus, pg_vector (postgres), redis, qdrant, faiss, pinecone, mongo atlas  
LLMWareConfig().set_vector_db("milvus")  

#   for fast start - no installations required  
LLMWareConfig().set_active_db("sqlite")  
LLMWareConfig().set_vector_db("chromadb")   # try also faiss and lancedb  

#   for single postgres deployment  
LLMWareConfig().set_active_db("postgres")  
LLMWareConfig().set_vector_db("postgres")  

#   to install mongo, milvus, postgres - see the docker-compose scripts as well as examples

Need help or have questions?

Check out the llmware videos and GitHub repository.

Reach out to us on GitHub Discussions.

About the project

llmware is © 2023-2024 by AI Bloks.

Contributing

Please first discuss any change you want to make publicly, for example on GitHub via raising an issue or starting a new discussion. You can also write an email or start a discussion on our Discrod channel. Read more about becoming a contributor in the GitHub repo.

Code of conduct

We welcome everyone into the llmware community. View our Code of Conduct in our GitHub repository.

llmware and AI Bloks

llmware is an open source project from AI Bloks - the company behind llmware. The company offers a Software as a Service (SaaS) Retrieval Augmented Generation (RAG) service. AI Bloks was founded by Namee Oberst and Darren Oberst in Oktober 2022.

License

llmware is distributed by an Apache-2.0 license.

Thank you to the contributors of llmware!

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