Library/bRAG-langchainForked

bragai/bRAG-langchain

bRAG-langchain

Everything you need to know to build your own RAG application

View on GitHub↗Upstream bragai/bRAG-langchain↗

Builder

bragai

bragai • individual

Stars

4,070

Using upstream star count

Forks

486

Using upstream fork count

Open Issues

Activity Score

0/100

0 commits in 30d

Created

Nov 16, 2024

Project creation date

README Summary

This repository provides a comprehensive tutorial and implementation guide for building Retrieval-Augmented Generation (RAG) applications using LangChain. It serves as an educational resource for developers learning to combine document retrieval with language models for enhanced question-answering capabilities.

AI Dev Skills

Unmapped

Retrieval-Augmented Generation (RAG)Vector Database IntegrationDocument EmbeddingSemantic SearchLarge Language Model IntegrationInformation RetrievalNatural Language Processing

Taxonomy

AI Trends

Retrieval-Augmented Generation Compound AI Systems

Deployment Context

Self-hosted Cloud API

Industries

Education Developer Tools

Modalities

Text

Skill Areas

Retrieval-Augmented Generation (RAG)Vector Database Integration Document Embedding Semantic Search Large Language Model Integration Information Retrieval Natural Language Processing

Use Cases

Document Question Answering Knowledge Base Search Educational Content Retrieval Technical Documentation Query

Recent Activity

Updated 4 months ago

7 Days

30 Days

90 Days

Quality

prototype

Quality: medium
Maturity: prototype

PM Skills

Developer Platform

Languages

Jupyter Notebook100.0%

Timeline

Project created: Nov 16, 2024
Forked: Mar 29, 2026
Your last push: 4 months ago
Upstream last push: 4 months ago
Tracked since: Nov 22, 2025

Similar Repos

pgvector cosine similarity · $0

Loading…