Document agent example that can parse and chat over unstructured data
Hi all, Dapr maintainer here. We've added a new example that shows how you can build a conversational agent that can upload, parse and understand complex documents, while retaining long-term memory. The example also shows how the agent can upload the file to multiple storage providers. Would be great to get your feedback.
Document agent example that can parse and chat over unstructured data launched on April 23, 2025 with 15 votes, #1,637 of 7,818 launches that month and more than 75% of that year's launches. The site was not reachable when checked in September 2026.
In plain words
A conversational agent example built with Dapr that demonstrates how to upload, parse, and understand complex unstructured documents while maintaining long-term memory across conversations. The example shows integration with multiple storage providers for file handling. Designed for developers building document-processing applications, this resource provides a practical reference implementation for creating intelligent document analysis systems.
written from the facts on this page · September 2026
Does a similar job
all alternatives →
Assistant by Mintlify2025 · mintlify.com · ▲378A conversational, agentic assistant built into your docs
Document collection by Superdash2025 · superdash.ai · ▲161The document collection agent you’ve been waiting for.
ParsewiseMar 2026 · parsewise.ai · ▲169Hi HN! We're X25 alumni and built Parsewise to analyze large document sets with AI agents. Instead of prompting a single PDF, our agents extract, cross-reference, and reason across thousands of documents in one run. We originally built this for insurance and financial diligence workflows where teams review huge document packs. Curious what the HN community thinks! Check out our public demos: demo.parsewise.ai/insurance-claims-triage demo.parsewise.ai/reinsurance-recovery-optimization demo.parsewise.ai/investment-diligence demo.parsewise.ai/mortgage-underwriting
Docalysis AI Chat with Multiple Files2023 · docalysis.com · ▲100Get AI answers from a folder of PDF, CSV & TXT files
Document Parser by Contextual AI2025 · docs.contextual.ai · ▲118Rank a list of documents according to their relevance to a query primarily and your custom instructions secondarily. We evaluated the model on instructions for recency, document type, source, and metadata, and it can generalize to other instructions as well. The reranker supports multilinguality. Th
More ai this month
the category →
Paintings by AI models: programs run through a simulation of oil paint.
AI · 20d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 29d ago · world.pixverse.video
Source: Show HN post ↗
Launched alongside, April 2025
the whole month →
Hi everyone, I built PyXL — a hardware processor that executes a custom assembly generated from Python programs, without using a traditional interpreter or virtual machine. It compiles Python -> CPython Bytecode -> Instruction set designed for direct hardware execution. I’m sharing an early benchmark: a GPIO test where PyXL achieves a 480ns round-trip toggle — compared to 14-25 micro seconds on a MicroPython Pyboard - even though PyXL runs at a lower clock (100MHz vs. 168MHz). The design is stack-based, fully pipelined, and preserves Python's dynamic typing without static type restrictions.…
Dev tools · 2025 · runpyxl.com
The Unsure Calculator is an online tool that lets you calculate with numbers you’re not sure about.
Life & fun · 2025 · filiph.github.io
https://the-pocket.github.io/Tutorial-Codebase-Knowledge/
AI · 2025 · github.com
