mshumayl/langchain-pgvector
Knowledge base Q&A program using LangChain for retrieval-augmented prompting and PGVector as vector store.
This tool helps you quickly get answers from a specific set of documents, like your company's internal reports or a collection of research papers. You provide the documents as text files, ask a question, and it gives you an answer grounded in the information contained within those files. It's designed for anyone who needs to extract specific information or insights from a custom knowledge base without manually sifting through it.
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Use this if you need a quick way to query a custom collection of text documents and get answers that are directly sourced from their content.
Not ideal if you need to integrate this functionality into a complex existing application or require advanced document processing capabilities beyond simple text files.
Stars
19
Forks
1
Language
Python
License
MIT
Category
Last pushed
May 20, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/mshumayl/langchain-pgvector"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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