snyy

5 ms·

31.
by snyy 1y ago
How did the OTP case work? Where was the OTP received and how did the browser know? Or did it bypass it entirely with corporation from the website?
32.
by snyy 1y ago
We're working on Mongo integrations!
33.
by snyy 1y ago
We want to be the platform that connects documents to AI for all applications. Consequently, we want to cover all use cases, including the ones you mentioned :)
34.
by snyy 1y ago
Yes :) Code chunker is fantastic for SQL
35.
by snyy 1y ago
We don't yet, but our library comes with a visualization tool that you can use to compare chunkers directly. https://docs.chonkie.ai/python-sdk/utils/visualizer
36.
by snyy 1y ago
Pretty much what you described. Convert the PDF to Markdown, join content across pages so that its all one string, then chunk it. Our evals show this approach works best.
37.
by snyy 1y ago
> you may want to remove errors while retaining the correction Double clicking on this, are these messages you’d want to drop from memory because they’re not part of the actual content (e.g. execution errors or warnings)? That kind of c
38.
by snyy 1y ago
Awesome! Keep us posted :)
39.
by snyy 1y ago
Great questions! Chunking fundamentals remain the same whether you're doing traditional semantic search or agentic retrieval. The key difference lies in the retrieval strategy, not the chunking approach itself. For quality agentic retr
40.
by snyy 1y ago
In addition to size and speed we also offer the most variety of chunking strategies! Typically, our current users fall into one of two categories: - People who are running async chunking but need access to a strategy not supported in langch
41.
by snyy 1y ago
Thank you :)
42.
by snyy 1y ago
Not sure what HN uses :) If you want agents/LLMs to be able to find relevant data based on similarity to queries, vectorDBs like Chroma (or even pgVector) are great.
43.
by snyy 1y ago
Node and Bun should work. Haven't tested on Deno yet. We rely on the huggingface/transformers library which might be too heavy for a react-native app.
44.
by snyy 1y ago
As mentioned in the other reply, we have a cloud/on-prem offering that comes with a managed ETL pipeline built on top of our OSS offering.
45.
by snyy 1y ago
Awesome! Keep us posted!
46.
Launch HN: Chonkie (YC X25) – Open-Source Library for Advanced Chunking
151 points by snyy 1y ago|42 comments
47.
by snyy 1y ago
We don't have this yet but we will soon. Finding the right setup for your data is definitely tougher than it needs to be.
48.
by snyy 1y ago
We're aiming to launch it by Monday
49.
by snyy 1y ago
Glad you like it!
50.
Show HN: Advanced Chunking in JavaScript/TypeScript with Chonkie
10 points by snyy 1y ago|6 comments
51.
Show HN: Fast and Quality Code Chunking with Chonkie
1 points by snyy 1y ago|0 comments
52.
by snyy 1y ago
When you sign up for Chonkie, you’ll receive a bundle of free credits to get started. These credits are used as you process documents, based on the pricing listed at chonkie.ai/pricing. Once your credits run out, no worries—Chonkie kee
53.
by snyy 1y ago
Glad it helps! :)
54.
Show HN: Chonkie Cloud – No-nonsense chunking now on the the cloud(cloud.chonkie.ai)
6 points by snyy 1y ago|5 comments