ragsearch and ragcar
Both projects are RAG engines, indicating they are competitors offering similar core functionality for context-aware recommendations or advanced research.
About ragsearch
mrutunjay-kinagi/ragsearch
This project aims to build a Retrieval-Augmented Generation (RAG) engine to provide context-aware recommendations based on user queries.
Supports multiple data input formats (CSV, JSON, Parquet) and integrates with Cohere for embeddings alongside dual vector storage backends—FAISS for in-memory performance or ChromaDB for persistent SQLite-backed search. Built as a Python library with Flask-based web UI, targeting natural language queries over structured datasets with configurable embedding and retrieval pipelines.
About ragcar
leewaay/ragcar
RAGCAR: Retrieval-Augmented Generative Companion for Advanced Research
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