Langfuse
Helicone AI
LangSmith
LangChain
PromptLayer
Braintrust.dev
Humanloop
Openlayer
Amazon CloudSearch
Algolia
ElasticSearch
Swiftype
Site Search 360
Apache Solr
Google Cloud Search
Ambar
Langfuse is an open-source LLM engineering platform designed to empower developers by providing insights into user interactions with their LLM applications. We offer tools that help developers understand usage patterns, diagnose issues, and improve application performance based on real user data. By integrating seamlessly into existing workflows, Langfuse streamlines the process of monitoring, debugging, and optimizing LLM applications. Our platform's robust documentation and active community support make it easy for developers to leverage Langfuse for enhancing their LLM projects efficiently. Whether you're troubleshooting interactions or iterating on new features, Langfuse is committed to simplifying your LLM development journey.
Langfuse Amazon CloudSearchBased on our record, Langfuse should be more popular than Amazon CloudSearch. It has been mentiond 29 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Langfuse and LangSmith exist for this. Use them. The 30 minutes you spend setting up observability saves you the 87 hours you'd spend debugging blind. - Source: dev.to / 5 days ago
In this project we will build a Python banking assistant agent using Strands Agents and make it observable and continuously evaluated using Langfuse โ step by step. - Source: dev.to / about 1 month ago
Langfuse is the open-source standard for LLM observability. It traces every LLM interaction โ prompts, completions, latency, token usage, cost โ and provides the tooling to debug, evaluate, and optimize LLM applications in production. Think of it as "Datadog for LLM calls" with a focus on prompt engineering workflows. - Source: dev.to / 2 months ago
You're monitoring production traffic. You need Langfuse / Phoenix / Helicone / Braintrust for that. Online eval is a different problem class: implicit feedback, drift detection, hallucination rates on your data, not on HellaSwag. - Source: dev.to / 2 months ago
Gateway or proxy attribution. A reverse proxy in front of the model-provider API records the request, computes the cost, and exposes per-customer breakdowns. Open-source options include Helicone, LiteLLM, Langfuse, and OpenLLMetry. Hosted equivalents serve as the AI cost observability layer for teams that want centralized visibility: LangSmith, Datadog LLM Observability, Arize Phoenix. Adds a network hop.... - Source: dev.to / 2 months ago
Personally, rather than trying to implement this functionality myself from scratch I would use something like Amazon CloudSearch that supports autocomplete suggestions for things that have been added to it. Source: about 3 years ago
TL;DR: Dynamo is "bad" for searching. Use something else ( Elastic, CloudSearch ) if you don't know what you're doing. Source: over 4 years ago
Maybe they use:. - Source: Hacker News / over 4 years agohttps://aws.amazon.com/cloudsearch/
There is also Amazon CloudSearch as a managed search service but it does seem kind of abandoned from the looks of its landing page. Source: over 4 years ago
Helicone AI - Open-source LLM Observability for Developers
Algolia - Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.
LangSmith - Build and deploy LLM applications with confidence
ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.
LangChain - Framework for building applications with LLMs through composability
Swiftype - The simplest way to add search to your website or application. Sign up for free.
