whyhow-ai / rule-based-retrievalLinks
The Rule-based Retrieval package is a Python package that enables you to create and manage Retrieval Augmented Generation (RAG) applications with advanced filtering capabilities. It seamlessly integrates with OpenAI for text generation and Pinecone or Milvus for efficient vector database management.
☆247Updated last year
Alternatives and similar repositories for rule-based-retrieval
Users that are interested in rule-based-retrieval are comparing it to the libraries listed below
Sorting:
- Automated knowledge graph creation SDK☆122Updated 10 months ago
- Repository to demonstrate Chain of Table reasoning with multiple tables powered by LangGraph☆146Updated last year
- Python SDK for running evaluations on LLM generated responses☆292Updated 4 months ago
- Schemas for WhyHow's automated knowledge graph creation SDK☆93Updated last year
- Tuning and Evaluation of RAG pipeline. (Automated optimization to be added soon)☆262Updated last year
- LLM-driven automated knowledge graph construction from text using DSPy and Neo4j.