Neo4j graph construction from unstructured data using LLMs
#大语言模型#The unofficial DSPy framework. Build LLM powered Agents and "Agentic workflows" based on the Stanford DSP paper.
#大语言模型#A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS
#搜索#A @ClickHouse fork that supports high-performance vector search and full-text search.
The simplest way to build AI workloads on Postgres
#大语言模型#LangStream. Event-Driven Developer Platform for Building and Running LLM AI Apps. Powered by Kubernetes and Kafka.
#向量搜索引擎#In-memory vector store with efficient read and write performance for semantic caching and retrieval system. Redis for Semantic Caching.
vsag is a vector indexing library used for similarity search.
#大语言模型#AI Native database for embedding vectors
#Awesome#Awesome List of Vector DB resources
#搜索#A pure Python-implemented, lightweight, server-optional, multi-end compatible, vector database deployable locally or remotely.
#大语言模型#Zephyr 7B beta RAG Demo inside a Gradio app powered by BGE Embeddings, ChromaDB, and Zephyr 7B Beta LLM.
AWS SageMaker, SeldonCore, KServe, Kubeflow & MLflow, VectorDB
#大语言模型#This repository contains the code and infrastructure as code for a Generative AI-powered Request for Proposal (RFP) Assistant leveraging Amazon Bedrock and AWS Cloud Development Kit (CDK).
Simple in-memory vector database for text similarity in Node.js
A universal Qdrant table frontend based on transformers.js