RAG chunks for Pinecone or Qdrant with stable IDs

Created by

Perceptron Data

Actor

Research Agent – Evidence-Graded Web Search for RAG

One row per passage: ready-made chunks with text, URL, title, date, evidence level and a stable id (same URL and text → same id), so repeated runs update your vector database instead of duplicating it. Works with Apify's Pinecone and Qdrant integrations.

Try for free

Research Agent – Evidence-Graded Web Search for RAGperceptr0n/research-agent

query

rank

citation

text

+5 fields

Input

Question:What is retrieval-augmented generation and how is it evaluated?

Sources:web+2

Output:passages

Output fields

query

rank

citation

text

url

title

evidenceLevel

publishedAt

tokens

How it works

Sign up on Apify or log in

The Research Agent – Evidence-Graded Web Search for RAG Actor is ready to run with the inputs already set for "RAG chunks for Pinecone or Qdrant with stable IDs". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "RAG chunks for Pinecone or Qdrant with stable IDs" task

The Research Agent – Evidence-Graded Web Search for RAG Actor will start running based on the input automatically. You can also change all the input fields, like question, sources, and more, to match your specific use case.

Receive the "RAG chunks for Pinecone or Qdrant with stable IDs" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as query, rank, citation, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "RAG chunks for Pinecone or Qdrant with stable IDs" task via API.