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Description
Collaborate effectively on prompts and assess LLM applications with assurance using Agenta, a versatile platform that empowers teams to swiftly develop powerful LLM applications. Build an interactive playground linked to your code, allowing the entire team to engage in experimentation and collaboration seamlessly. Methodically evaluate various prompts, models, and embeddings prior to launching into production. Share a link to collect valuable human feedback from team members, fostering a collaborative environment. Agenta is compatible with all frameworks, such as Langchain and Lama Index, as well as model providers, including OpenAI, Cohere, Huggingface, and self-hosted models. Additionally, the platform offers insights into the costs, latency, and chain of calls associated with your LLM application. Users can create straightforward LLM apps right from the user interface, but for those seeking to develop more tailored applications, coding in Python is necessary. Agenta stands out as a model-agnostic tool that integrates with a wide variety of model providers and frameworks, though it currently only supports an SDK in Python. This flexibility ensures that teams can adapt Agenta to their specific needs while maintaining a high level of functionality.
Description
Leverage cutting-edge NLP advancements by utilizing Haystack's pipeline architecture on your own datasets. You can create robust solutions for semantic search, question answering, summarization, and document ranking, catering to a diverse array of NLP needs. Assess various components and refine models for optimal performance. Interact with your data in natural language, receiving detailed answers from your documents through advanced QA models integrated within Haystack pipelines. Conduct semantic searches that prioritize meaning over mere keyword matching, enabling a more intuitive retrieval of information. Explore and evaluate the latest pre-trained transformer models, including OpenAI's GPT-3, BERT, RoBERTa, and DPR, among others. Develop semantic search and question-answering systems that are capable of scaling to accommodate millions of documents effortlessly. The framework provides essential components for the entire product development lifecycle, such as file conversion tools, indexing capabilities, model training resources, annotation tools, domain adaptation features, and a REST API for seamless integration. This comprehensive approach ensures that you can meet various user demands and enhance the overall efficiency of your NLP applications.
API Access
Has API
API Access
Has API
Integrations
Hugging Face
OpenAI
Cohere
DPR
Elasticsearch
Faiss
Falcon AI
GPT-3
Llama
Llama 2
Integrations
Hugging Face
OpenAI
Cohere
DPR
Elasticsearch
Faiss
Falcon AI
GPT-3
Llama
Llama 2
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Agenta
Country
Germany
Website
agenta.ai/
Vendor Details
Company Name
deepset
Founded
2018
Country
Germany
Website
haystack.deepset.ai/
Product Features
Product Features
Natural Language Processing
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization