telekinesis
langfuse
telekinesis | langfuse | |
---|---|---|
12 | 9 | |
16 | 3,492 | |
- | 26.7% | |
5.6 | 9.9 | |
28 days ago | 1 day ago | |
Python | TypeScript | |
MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
telekinesis
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Show HN: Sort and Filter Ask HN Who's Hiring by LLM-Embedding Proximity
https://payperrun.com/%3E/search?displayParams={%22q%22:%22S...
(There are quite a few, you might want to filter by date!)
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Ask HN: Who is hiring? (November 2023)
Hey everyone, I just made this thread easier to search through here:
https://payperrun.com/%3E/search?displayParams={%22q%22:%22D...
It uses LLM embeddings to sort postsby semantic proximity, but you can also filter out posts with comma separated values like this:
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Ask HN: What do you regret doing or not doing in your 30s?
https://news.ycombinator.com/item?id=33118584
[Shameless plug: I found all these on my llm-embedding based search engine I launched today: https://payperrun.com/%3E/search?displayParams={%22q%22:%22A...
It's much better than HN's default search: https://hn.algolia.com/?q=Ask+HN%3A+What+do+you+regret+doing... ]
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My thoughts on starting an online business as someone who's never done it before
https://payperrun.com/%3E/search?displayParams={%22q%22:%22A...
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We should promote more personal indexing, rather than algorhythmic indexing
There have been a few attempts at a crowdsourced-rank search engine (which is similar to what you're suggesting - people indexing the content), but it seems to be a hard cookie, most of the examples of similar ideas I could find on ProductHunt or ShowHN seem dead:
https://payperrun.com/%3E/search?displayParams={%22q%22:%22c...
(btw, I just launched this llm-embedding based search service that lets you check if a startup idea has already been tried/failed).
I don't know if this idea has a higher death rate than the baseline, but my guess is Google/PageRank is good enough for most use-cases, and then if you want quality sources, you can just follow them on YouTube, Twitter, Instagram, etc. Wait, maybe I shouldn't try to compete with Google?
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Show HN: An Embedding-Based Search Service over ShowHN, AskHN, GitHub, More
I like the section on how it works: https://payperrun.com/%3E/search?display=How%20this%20servic...
The vector search is using https://lancedb.com/ and OpenAI embeddings.
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Embeddings: What they are and why they matter
Behaves as I expected now!
I went here looking for more info about payperrun https://payperrun.com/%3E/welcome and clicked on the "Spotlight" section and saw 4 popups blocked - I never see popups anywhere these days and have to admit that sends me away pretty quickly.
- Show HN: Payperrun.com – A New Way to Monetize Your Code
- telekinesis: Just-in-time SDKs
- Show HN: Just-in-Time SDKs
langfuse
- Roast My Docs
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Show HN: Open-Source LLM Observability and Export to Grafana, Datadog etc.
Congrats on the Show! How’s this different from https://github.com/langfuse/langfuse? The exports seems really interesting
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RAG observability in 2 lines of code with Llama Index & Langfuse
Thus, we started working on Langfuse.com (GitHub) to establish an open source LLM engineering platform with tightly integrated features for tracing, prompt management, and evaluation. In the beginning we just solved our own and our friends’ problems. Today we are at over 1000 projects which rely on Langfuse, and 2.3k stars on GitHub. You can either self-host Langfuse or use the cloud instance maintained by us.
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langfuse VS agenta - a user suggested alternative
2 projects | 22 Nov 2023
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Ask HN: Who is hiring? (November 2023)
- We want to build a tool that is recommended here on HN: you can build a tool you would want to use yourself.
Please see more details here: https://langfuse.com/careers or reach out directly to me: [email protected]
[1] https://github.com/langfuse/langfuse
[2] https://create.t3.gg/
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How are generative AI companies monitoring their systems in production?
We struggled with this ourselves while building LLM-based products and then open-sourced our observability/monitoring tool [1]. Many use it to track RAG and agents in production, run custom evals on the production traces (focused on hallucination), and track how metrics are different across releases or customers. Feel free to dm if there is something specific you are looking to solve, happy to help.
[1] https://github.com/langfuse/langfuse
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LLM Analytics 101 - How to Improve your LLM app
Visit us on Discord and Github to engage with our project.
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Ask HN: Any tools or frameworks to monitor the usage of OpenAI API keys?
Maybe try https://github.com/langfuse/langfuse
It was recently shared on HN
- Show HN: Langfuse – Open-source observability and analytics for LLM apps
What are some alternatives?
chasr-server - End-To-End Encrypted GPS Tracking Service
trulens - Evaluation and Tracking for LLM Experiments
terra.py - Python SDK for Terra
llama_index - LlamaIndex is a data framework for your LLM applications
pyxet - Python SDK for XetHub
langchain - 🦜🔗 Build context-aware reasoning applications
DBoW2 - Enhanced hierarchical bag-of-word library for C++
agenta - The all-in-one LLM developer platform: prompt management, evaluation, human feedback, and deployment all in one place.
bert - TensorFlow code and pre-trained models for BERT
opentelemetry-instrument-openai-py - OpenTelemetry instrumentation for the OpenAI Python library
marqo - Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
examples - Your one-stop-shop to try Xata out. From packages to apps, whatever you need to get started.