couchbase-examples/vector-search-nodejs
A RAG demo using LangChain that allows you to chat with your uploaded PDF documents
This tool helps you quickly get answers from your own collection of PDF documents. You upload your PDFs, and then you can ask questions in a chat interface to get answers relevant to the information within those documents. It's designed for anyone who needs to extract specific information or insights from their PDF archives without manually sifting through them.
Use this if you have many PDF documents and frequently need to find specific information or answer questions based on their content.
Not ideal if you only have a few simple documents or if your primary need is general web search rather than querying your private data.
Stars
9
Forks
1
Language
TypeScript
License
—
Category
Last pushed
Feb 13, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/couchbase-examples/vector-search-nodejs"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
tonykipkemboi/ollama_pdf_rag
A full-stack demo showcasing a local RAG (Retrieval Augmented Generation) pipeline to chat with...
IDinsight/ask-a-question
Trustworthy question-answering AI plugin for chatbots in the social sector with advanced content...
reasonmethis/docdocgo-core
Automate web research way beyond the first page of search results; curate knowledge bases to chat with.
HaileyTQuach/docchat-docling
DocChat is an AI-powered Multi-Agent RAG system using Docling for structured document parsing...
pathway-labs/dropbox-ai-chat
AI-powered Dropbox search tool for private documents