langchain-ai/langchain-postgres
quality grade C, 60 out of 100LangChain abstractions backed by Postgres Backend
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Retrieval-augmented generation, document Q&A, knowledge graphs and memory systems.
Signals: rag, retrieval-augmented-generation, llamaindex, knowledge-graph, question-answering, chat-with-documents, graphrag, memory
503 results
LangChain abstractions backed by Postgres Backend
[NeurIPS'25, ICLR'26] Graph Foundation Model for Retrieval Augmented Generation
Openclaw记忆插件Knowledge Graph + Memory;Knowledge Graph Context Engine for OpenClaw — extracts structured triples from conversations, compresses context 75%, enables cross-session experience reuse
MS-Agent: a lightweight framework to empower agentic execution of complex tasks
Personal memory across agents
Enhanced LanceDB memory plugin for OpenClaw — Hybrid Retrieval (Vector + BM25), Cross-Encoder Rerank, Multi-Scope Isolation, Management CLI
High accuracy RAG for answering questions from scientific documents with citations
Everything you need to know to build your own RAG application
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
The collaborative spreadsheet for AI. Chain cells into powerful pipelines, experiment with prompts and models, and evaluate LLM responses in real-time. Work together seamlessly to build and iterate on AI applications.
Minimalist web-searching platform with an AI assistant that runs directly from your browser. Demo: https://felladrin-minisearch.hf.space
The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.
😎 Awesome list of Retrieval-Augmented Generation (RAG) applications in Generative AI.
[ICLR 2026] LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora
Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.
基于 openai api 的超长 PDF 解析服务
Learn how to crawl your website and build a Q/A bot with the OpenAI API
Ask questions across your Markdown notes using a fully local Graph RAG engine. Built for Obsidian vaults, works with any folder of Markdown files. Extracts entity-relation triples from wikilinks & YAML frontmatter, retrieves answers via hybrid search (vector + BM25 + temporal). Multilingual. No cloud. Runs on Ollama.
✨ AI interface for tinkerers (Ollama, Haystack RAG, Python)
RAG兴趣小组,全手写的一个RAG应用。Langchain的大部分库会很方便,但是你不一定理解其中原理,所以代码尽可能展现基本算法,主打理解RAG的原理
医学中文RAG项目,使用langchain+milvus,支持快速一键式部署,支持无缝领域迁移
A TypeScript sample app for the Retrieval Augmented Generation pattern running on Azure, using Azure AI Search for retrieval and Azure OpenAI and LangChain large language models (LLMs) to power ChatGPT-style and Q&A experiences.
Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 ,Agents.
Latests Langchain (2024) App to chat with any website given its URL
24,523 repositories in the index in total.