milvus-io / milvus-modelLinks
A library integrating embedding and reranker models from OpenAI, SentenceTransformers etc for semantic search in vector database.
☆58Updated 9 months ago
Alternatives and similar repositories for milvus-model
Users that are interested in milvus-model are comparing it to the libraries listed below
Sorting:
- Official repository for RAGViz: Diagnose and Visualize Retrieval-Augmented Generation [EMNLP 2024]☆88Updated 11 months ago
- Code and data for the paper "DBCᴏᴘɪʟᴏᴛ: Natural Language Querying over Massive Database via Schema Routing" (EDBT 2025)☆129Updated 4 months ago
- TextEmbed is a REST API crafted for high-throughput and low-latency embedding inference. It accommodates a wide variety of embedding mode…☆27Updated last year
- An enterprise-grade AI retriever designed to streamline AI integration into your applications, ensuring cutting-edge accuracy.☆292Updated 6 months ago
- Repository for “PlanRAG: A Plan-then-Retrieval Augmented Generation for Generative Large Language Models as Decision Makers”, NAACL24☆152Updated last year
- Lighter, cheaper and faster RAG toolkit (Graph RAG) supported by TargetPilot☆46Updated 6 months ago
- Deployment a light and full OpenAI API for production with vLLM to support /v1/embeddings with all embeddings models.☆44Updated last year
- Evaluation of bm42 sparse indexing algorithm☆72Updated last year
- Query Expension for Better Query Embedding using LLMs☆63Updated 10 months ago
- Official repo for "LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs".☆242Updated last year
- Using Large Language Models (LLMs) to convert natural language queries to sql☆54Updated last year
- A simple service that integrates vLLM with Ray Serve for fast and scalable LLM serving.☆78Updated last year
- DSPY on action with OpenSource LLMs.☆102Updated last year
- [ACL24] Official repo for "Synthesizing Text-to-SQL Data from Weak and Strong LLMs"☆68Updated last year
- Uses a blend of experimental techniques to enhance LLM RAG resultsets.☆98Updated 9 months ago
- Create fast graph language models from converted PDF documents for knowledge extraction and Q&A.☆57Updated 11 months ago
- ☆81Updated last month
- Evaluation tools for Retrieval-augmented Generation (RAG) methods.☆167Updated last year
- Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers☆81Updated 7 months ago
- A simple, easy-to-hack Vector Database☆180Updated last year
- Open Source Text Embedding Models with OpenAI Compatible API☆164Updated last year
- ☆51Updated last year
- Run LLM-related tools in containers.☆55Updated last year
- Submodular optimization for context engineering: query fan-out, text selection, passage reranking☆77Updated 5 months ago
- 🔎 A deep-dive into HyDE for Advanced LLM RAG + 💡 Introducing AutoHyDE, a semi-supervised framework to improve the effectiveness, covera…☆33Updated last year
- This is an NVIDIA AI Workbench example project that demonstrates an end-to-end model development workflow using Llamafactory.☆71Updated last year
- ☆62Updated last year
- ☆66Updated last year
- Evaluation for AI apps and agent☆43Updated last year
- Ready-to-go containerized RAG service. Implemented with text-embedding-inference + Qdrant/LanceDB.☆73Updated last year