Best Artificial Intelligence Software for Langflow - Page 2
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Compare the Top Artificial Intelligence Software that integrates with Langflow as of October 2025 - Page 2
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This a list of Artificial Intelligence software that integrates with Langflow. Use the filters on the left to add additional filters for products that have integrations with Langflow. View the products that work with Langflow in the table below.
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1
Instructor
Instructor
Instructor is a tool that enables developers to extract structured data from natural language using Large Language Models (LLMs). Integrating with Python's Pydantic library allows users to define desired output structures through type hints, facilitating schema validation and seamless integration with IDEs. Instructor supports various LLM providers, including OpenAI, Anthropic, Litellm, and Cohere, offering flexibility in implementation. Its customizable nature permits the definition of validators and custom error messages, enhancing data validation processes. Instructor is trusted by engineers from platforms like Langflow, underscoring its reliability and effectiveness in managing structured outputs powered by LLMs. Instructor is powered by Pydantic, which is powered by type hints. Schema validation and prompting are controlled by type annotations; less to learn, and less code to write, and it integrates with your IDE.Starting Price: Free -
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Codeflash
Codeflash
Codeflash is an AI-powered tool that automatically identifies and applies performance optimizations to Python code, discovering improvements across entire projects or within GitHub pull requests, enabling faster execution without sacrificing feature development. With simple installation and initialization, it has delivered dramatic speedups. Trusted by engineering teams at organizations, Codeflash has helped achieve outcomes such as 25% faster object detection (boosting Roboflow's throughput from 80 to 100 FPS), tens of merged pull requests delivering speedups in Albumentations, and ensured confidence in merging optimized code in Pydantic’s 300M+ download codebase. Codeflash can be integrated as a GitHub Action to catch slow code before shipping, and it maintains strong privacy and security with encrypted data handling.Starting Price: $30 per month -
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Pinecone
Pinecone
The AI Knowledge Platform. The Pinecone Database, Inference, and Assistant make building high-performance vector search apps easy. Developer-friendly, fully managed, and easily scalable without infrastructure hassles. Once you have vector embeddings, manage and search through them in Pinecone to power semantic search, recommenders, and other applications that rely on relevant information retrieval. Ultra-low query latency, even with billions of items. Give users a great experience. Live index updates when you add, edit, or delete data. Your data is ready right away. Combine vector search with metadata filters for more relevant and faster results. Launch, use, and scale your vector search service with our easy API, without worrying about infrastructure or algorithms. We'll keep it running smoothly and securely. -
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Vectara
Vectara
Vectara is LLM-powered search-as-a-service. The platform provides a complete ML search pipeline from extraction and indexing to retrieval, re-ranking and calibration. Every element of the platform is API-addressable. Developers can embed the most advanced NLP models for app and site search in minutes. Vectara automatically extracts text from PDF and Office to JSON, HTML, XML, CommonMark, and many more. Encode at scale with cutting edge zero-shot models using deep neural networks optimized for language understanding. Segment data into any number of indexes storing vector encodings optimized for low latency and high recall. Recall candidate results from millions of documents using cutting-edge, zero-shot neural network models. Increase the precision of retrieved results with cross-attentional neural networks to merge and reorder results. Zero in on the true likelihoods that the retrieved response represents a probable answer to the query.Starting Price: Free -
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Pixtral Large
Mistral AI
Pixtral Large is a 124-billion-parameter open-weight multimodal model developed by Mistral AI, building upon their Mistral Large 2 architecture. It integrates a 123-billion-parameter multimodal decoder with a 1-billion-parameter vision encoder, enabling advanced understanding of documents, charts, and natural images while maintaining leading text comprehension capabilities. With a context window of 128,000 tokens, Pixtral Large can process at least 30 high-resolution images simultaneously. The model has demonstrated state-of-the-art performance on benchmarks such as MathVista, DocVQA, and VQAv2, surpassing models like GPT-4o and Gemini-1.5 Pro. Pixtral Large is available under the Mistral Research License for research and educational use, and under the Mistral Commercial License for commercial applications.Starting Price: Free -
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Composio
Composio
Composio is an integration platform designed to enhance AI agents and Large Language Models (LLMs) by providing seamless connections to over 150 tools with minimal code. It supports a wide array of agentic frameworks and LLM providers, facilitating function calling for efficient task execution. Composio offers a comprehensive repository of tools, including GitHub, Salesforce, file management systems, and code execution environments, enabling AI agents to perform diverse actions and subscribe to various triggers. The platform features managed authentication, allowing users to oversee authentication processes for all users and agents from a centralized dashboard. Composio's core capabilities include a developer-first integration approach, built-in authentication management, an expanding catalog of over 90 ready-to-connect tools, a 30% increase in reliability through simplified JSON structures and improved error handling, SOC Type II compliance ensuring maximum data security.Starting Price: $49 per month -
7
AI Crypto-Kit
Composio
AI Crypto-Kit empowers developers to build crypto agents by seamlessly integrating leading Web3 platforms like Coinbase, OpenSea, and more to automate real-world crypto/DeFi workflows. Developers can build AI-powered crypto automation in minutes, including applications such as trading agents, community reward systems, Coinbase wallet management, portfolio tracking, market analysis, and yield farming. The platform offers capabilities engineered for crypto agents, including fully managed agent authentication with support for OAuth, API keys, JWT, and automatic token refresh; optimization for LLM function calling to ensure enterprise-grade reliability; support for over 20 agentic frameworks like Pippin, LangChain, and LlamaIndex; integration with more than 30 Web3 platforms, including Binance, Aave, OpenSea, and Chainlink; and SDKs and APIs for agentic app interactions, available in Python and TypeScript. -
8
Glean
Glean Technologies
Founded by former Google search engineers, Glean understands context, language, behavior, and relationships with others, to find personalized answers to your questions— instantly. Glean learns your company’s unique language and continuously trains to improve search performance. Glean reveals insights you never knew existed, and makes connections with the people who can help. So everyone is on the same page and can focus where they need to. Quick set-up. Instant performance. Get started in less than 2 hours. Glean searches across your company's collective knowledge and into your content. No need to remember where things are or what they’re called. Search for and understand who people are, what they’re working on, and how they can help. -
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Qdrant
Qdrant
Qdrant is a vector similarity engine & vector database. It deploys as an API service providing search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more! Provides the OpenAPI v3 specification to generate a client library in almost any programming language. Alternatively utilise ready-made client for Python or other programming languages with additional functionality. Implement a unique custom modification of the HNSW algorithm for Approximate Nearest Neighbor Search. Search with a State-of-the-Art speed and apply search filters without compromising on results. Support additional payload associated with vectors. Not only stores payload but also allows filter results based on payload values. -
10
Wolfram Alpha
Wolfram Alpha
The introduction of Wolfram Alpha defined a fundamentally new paradigm for getting knowledge and answers—not by searching the web, but by doing dynamic computations based on a vast collection of built-in data, algorithms and methods. Wolfram Alpha brings expert-level knowledge and capabilities to the broadest possible range of people—spanning all professions and education levels. We work to accept completely free-form input, and to serve as a knowledge engine that generates powerful results and presents them with maximum clarity. What makes Wolfram Alpha possible today is a somewhat unique set of circumstances—and the singular vision of Stephen Wolfram. For the first time in history, computers are powerful enough to support the capabilities of Wolfram Alpha, and the web provides a broad-based means of delivery. But this technology alone was not enough for Wolfram Alpha to be possible. -
11
Groq
Groq
Groq is on a mission to set the standard for GenAI inference speed, helping real-time AI applications come to life today. An LPU inference engine, with LPU standing for Language Processing Unit, is a new type of end-to-end processing unit system that provides the fastest inference for computationally intensive applications with a sequential component, such as AI language applications (LLMs). The LPU is designed to overcome the two LLM bottlenecks, compute density and memory bandwidth. An LPU has greater computing capacity than a GPU and CPU in regards to LLMs. This reduces the amount of time per word calculated, allowing sequences of text to be generated much faster. Additionally, eliminating external memory bottlenecks enables the LPU inference engine to deliver orders of magnitude better performance on LLMs compared to GPUs. Groq supports standard machine learning frameworks such as PyTorch, TensorFlow, and ONNX for inference. -
12
Le Chat
Mistral AI
Le Chat is a conversational entry point to interact with the various models from Mistral AI. It offers a pedagogical and fun way to explore Mistral AI’s technology. Le Chat can use Mistral Large or Mistral Small under the hood, or a prototype model called Mistral Next, designed to be brief and concise. We are hard at work to make our models as useful and as little opinionated as possible, although much remain to be improved! Thanks to a tunable system-level moderation mechanism, Le Chat warns you in a non-invasive way when you’re pushing the conversation in directions where the assistant may produce sensitive or controversial content.Starting Price: Free -
13
Cake AI
Cake AI
Cake AI is a comprehensive AI infrastructure platform that enables teams to build and deploy AI applications using hundreds of pre-integrated open source components, offering complete visibility and control. It provides a curated, end-to-end selection of fully managed, best-in-class commercial and open source AI tools, with pre-built integrations across the full breadth of components needed to move an AI application into production. Cake supports dynamic autoscaling, comprehensive security measures including role-based access control and encryption, advanced monitoring, and infrastructure flexibility across various environments, including Kubernetes clusters and cloud services such as AWS. Its data layer equips teams with tools for data ingestion, transformation, and analytics, leveraging tools like Airflow, DBT, Prefect, Metabase, and Superset. For AI operations, Cake integrates with model catalogs like Hugging Face and supports modular workflows using LangChain, LlamaIndex, and more. -
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NVIDIA DRIVE
NVIDIA
Software is what turns a vehicle into an intelligent machine. The NVIDIA DRIVE™ Software stack is open, empowering developers to efficiently build and deploy a variety of state-of-the-art AV applications, including perception, localization and mapping, planning and control, driver monitoring, and natural language processing. The foundation of the DRIVE Software stack, DRIVE OS is the first safe operating system for accelerated computing. It includes NvMedia for sensor input processing, NVIDIA CUDA® libraries for efficient parallel computing implementations, NVIDIA TensorRT™ for real-time AI inference, and other developer tools and modules to access hardware engines. The NVIDIA DriveWorks® SDK provides middleware functions on top of DRIVE OS that are fundamental to autonomous vehicle development. These consist of the sensor abstraction layer (SAL) and sensor plugins, data recorder, vehicle I/O support, and a deep neural network (DNN) framework. -
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Tavily
Tavily
Say Hello to Tavily, your AI mate for rapid insights and comprehensive research. Tavily takes care of everything from accurate source gathering to organization of research results - all in one platform designed to make your research process a breeze. With Tavily, all you need is to share your objectives and questions, and voila. Tavily provides comprehensive, accurate and credible research results directly to your inbox in a matter of minutes. Start by telling Tavily what you're working on and what are your objectives. We want to make sure we understand your needs before we get started on the research. Once we understand your research needs, you can choose the questions you want Tavily to research and answer for you. Tavily will start gathering information from relevant sources. You will receive actionable research insights delivered straight to your inbox in minutes.