🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with PostgreSQL or SQLite
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Updated
Feb 1, 2025 - Python
🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with PostgreSQL or SQLite
Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & Collaborations.
A LLM RAG system runs on your laptop. 大模型检索增强生成系统,可以轻松部署在笔记本电脑上,实现本地知识库智能问答。
Lite weight wrapper for the independent implementation of SPLADE++ models for search & retrieval pipelines. Models and Library created by Prithivi Da, For PRs and Collaboration checkout the readme.
OpenAI chatGPT hybrid search and retrieval augmented generation
Discord bot that knows a lot about Pokemons :)
This project provides an example of consolidating Milvus (vector search engine) and PostgreSQL (relational database) to carry out the hybrid search of vectors and structured data.
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🔗 Hybrid retrieval in the legal domain
RAG-Ingest: A tool for converting PDFs to markdown and indexing them for enhanced Retrieval Augmented Generation (RAG) capabilities.
This application implements an advanced company search and ranking system using a hybrid search approach that combines vector similarity search (using PgVector) and traditional full-text search in PostgreSQL.
Hybrid Search of full text and vector queries that execute against a search index containing both searchable plain text content and generated embeddings
An example of Named-entity Recognition and relation mapping using an LLM and Vector Database. Also includes a Branching Hybrid-Search Chatbot to utilize extracted relations.
Make your notes from Notes.app searchable via hybrid search.
RAG Application with Optimizations on HNSW Index, Quantization, Hybrid Search and Semantic Caching
Chatbot based on Contextual RAG with Hybrid Search and Reranking with short conversation history awareness, fully OpenSource.
A React-based visual interface that allows users to connect YouTube videos to chat nodes and interact with video content through a conversational interface.
RAG-API: A production-ready Retrieval Augmented Generation API leveraging LLMs, vector databases, and hybrid search for accurate, context-aware responses with citation support.
An LLM-powered RAG application for medication Named Entity Recognition (NER)
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