Alternatives to LlamaIndex

Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case. Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection.

Have you tried doing it yourself? Maybe you should think about hiring professionals instead. SalesMachines has a range of AI models and Conversation packages that are easy to use and smart, just like SmartPhone calling plans. We are always updating our AI models, just like Apple updates their Smartphones. Our aim is to offer the best AI models and conversation plans. Our AI is powered by OpenAI's GPT 4 Turbo Technology. It uses advanced systems to provide safer and more helpful responses. We constantly improve our machine learning models to enhance your projects. Our AI can have natural and adaptable conversations without complicated programming.

IBM watsonx Assistant is a next-gen conversational AI solution—it that empowers a broader audience that includes non-technical business users, anyone in your organization to effortlessly build generative AI Assistants that deliver frictionless self-service experiences to customers across any device or channel, help boost employee productivity, and scale across your business. -User-friendly interface with drag-and-drop conversation builder and pre-built templates. -Out-of-the-box Large Language Models, Large Speech Models, Natural Language Processing and Understanding (NLP, NLU), and Intelligent Context Gathering, to better understand the context of each conversation in natural language. -Retrieval-augmented generation (RAG) for accurate, contextual, and up-to-date conversational answers around the clock, grounded in your company's knowledge base.

Dify is an open-source platform that simplifies the creation and management of generative AI applications. It offers a user-friendly orchestration studio for designing workflows, a dedicated Prompt IDE for crafting and testing prompts, and robust LLMOps tools for monitoring and optimizing large language models. Compatible with leading AI models like OpenAI’s GPT series and open-source options such as Llama, Dify provides developers with the flexibility to choose the best models for their projects. Its Backend-as-a-Service (BaaS) capabilities make it easy to integrate AI features into existing systems, enabling the development of intelligent tools like chatbots, document summarizers, and virtual assistants.

DSPy is a framework for language models that are programmed rather than prompted. It allows you iterate quickly on building modular AI system and offers algorithms for optimising their prompts and weighs, whether you are building simple classifiers or sophisticated RAG pipelines or Agent loops.

We believe that the most effective and differentiated applications won't only call out via an API to a language model. LangChain supports several modules. We provide examples, how-to guides and reference docs for each module. Memory is the concept that a chain/agent calls can persist in its state. LangChain provides a standard interface to memory, a collection memory implementations and examples of agents/chains that use it. This module outlines best practices for combining language models with your own text data. Language models can often be more powerful than they are alone.

Haystack’s pipeline architecture allows you to apply the latest NLP technologies to your data. Implement production-ready semantic searching, question answering and document ranking. Evaluate components and fine tune models. Haystack's pipelines allow you to ask questions in natural language, and find answers in your documents with the latest QA models. Perform semantic search to retrieve documents ranked according to meaning and not just keywords. Use and compare the most recent transformer-based language models, such as OpenAI's GPT-3 and BERT, RoBERTa and DPR. Build applications for semantic search and question answering that can scale up to millions of documents. Building blocks for the complete product development cycle, including file converters, indexing, models, labeling, domain adaptation modules and REST API.

Langflow is an AI builder that uses low-code to create agentic, retrieval-augmented generation apps. It provides a visual interface which allows developers to build complex AI workflows by dragging and dropping components. This facilitates rapid experimentation, prototyping and testing. The platform is Python based and independent of any model, API or database. This allows for seamless integration with a variety of tools and stacks. Langflow is a platform that supports the development and deployment of intelligent chatbots as well as document analysis systems and multi-agent apps. It has features like dynamic input variables, fine tuning capabilities, and the creation of custom components. Langflow also integrates with a number of services, such as Cohere Bing HuggingFace OpenAI Pinecone and Anthropic. The platform allows developers to use pre-built components, or create their own. This increases flexibility in AI application creation. The platform offers a free cloud-based service for quick deployment.

LangGraph gives you the precision and control to build agents that can reliably handle complex tasks. LangGraph Platform allows you to build and scale agentic apps. LangGraph's flexible Framework supports diverse control flows, including single agent, multi-agent and hierarchical. It also handles realistic and complex scenarios. Moderation and quality loops are easy to add, ensuring that agents do not veer off course. LangGraph Platform can be used to template your cognitive architecture, so that tools, prompts and models can be easily configured with LangGraph Platform Assistants. LangGraph agents are able to work seamlessly with humans, as they can write drafts and wait for approval before taking action. You can easily inspect the agent's action and "time-travel", to take a different course of action.

AI agents that interact and answer questions with users and complete tasks using your data and APIs. AI that can answer questions, summarize and extract insights from any long document. Transfer styles and formats, as well as tags and summaries between documents and data sources. Stack AI is used by developer teams to automate customer service, process documents, qualify leads, and search libraries of data. With a single button, you can try multiple LLM architectures and prompts. Collect data, run fine-tuning tasks and build the optimal LLM to fit your product. We host your workflows in APIs, so that your users have access to AI instantly. Compare the fine-tuning services of different LLM providers.

RAGFlow is a Retrieval-Augmented Generation engine (RAG), which combines Large Language Models with deep document understanding to enhance information retrieval. It provides a streamlined RAG process that is suitable for businesses at any scale. It allows for accurate question-answering backed up by well-founded citations based on various complex formats of data. The key features are template-based chunking and compatibility with heterogeneous sources of data.

No coding is required to create AI voice assistants that can make outbound calls and answer inbound calls. They can also schedule appointments 24 hours a day. Forget expensive machine learning teams and lengthy development cycles. Synthflow allows you to create sophisticated, tailored AI agents with no technical knowledge or coding. All you need is your data and your ideas. Over a dozen AI agents are available for use in a variety of applications, including document search, process automaton, and answering questions. You can use an agent as is or customize it according to your needs. Upload data instantly using PDFs, CSVs PPTs URLs and more. Every new piece of information makes your agent smarter. No limits on storage or computing resources. Pinecone allows you to store unlimited vector data. You can control and monitor how your agent learns. Connect your AI agent to any data source or services and give it superpowers.

Flowise is open source and will always be free to use for commercial and private purposes. Build LLMs apps easily with Flowise, an open source UI visual tool to build your customized LLM flow using LangchainJS, written in Node Typescript/Javascript. Open source MIT License, see your LLM applications running live, and manage component integrations. GitHub Q&A using conversational retrieval QA chains. Language translation using LLM chains with a chat model and chat prompt template. Conversational agent for chat model that uses chat-specific prompts.

SuperAGI SuperCoder combines AI-native development platform & AI agents in order to enable fully autonomous software creation starting with the python programming language & frameworks. SuperCoder 2.0 leverages Large Action Models (LAMs) and LLMs fine-tuned to python code creation leading to one-shot or few-shot python functional programming with significantly higher accuracy on SWE-bench and Codebench SuperCoder 2.0 is an autonomous system that combines software guardrails for Flask & Django development frameworks with SuperAGI's Generally Intelligent Developer Agents in order to deliver complex real-world software systems SuperCoder 2.0 integrates deeply with existing developer stacks such as Jira or Github, Jenkins, CSPs, and QA solutions like BrowserStack/Selenium Clouds, to ensure a seamless experience in software development.

Amazon Bedrock is a managed AWS service designed to make building and scaling generative AI applications easier by providing access to a diverse range of foundation models (FMs) from leading providers such as AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon itself. Through a single API, developers can test, fine-tune, and customize these models to meet specific use cases using advanced techniques like Retrieval Augmented Generation (RAG). The platform allows for the creation of intelligent agents that seamlessly integrate with enterprise systems and data sources, enabling enhanced automation and decision-making. Bedrock’s serverless architecture removes the need for infrastructure management, ensuring high scalability and minimal operational complexity. With a focus on security, data privacy, and responsible AI, Amazon Bedrock empowers organizations to accelerate innovation while maintaining trust and compliance. It represents a powerful tool for businesses aiming to integrate cutting-edge AI solutions into their operations effortlessly.

Phidata is a platform that allows users to build, deploy, and monitor AI agents. It allows users to create domain specific agents with memory, external tools, and knowledge. This enhances AI capabilities for a variety of tasks. The platform integrates seamlessly with databases, vector stores and APIs. It supports a wide range of large language model. Phidata provides pre-configured template to accelerate development and deployment. This allows users to quickly move from building agents to shipping into production. It has features such as real-time monitoring and agent evaluations. Performance optimization tools are also included to ensure the reliability and scalability. Phidata allows developers to use their own cloud infrastructure for a flexible custom setup. The platform offers robust support for enterprise, including security features and agent guardrails. It also automates DevOps to make deployments easier.

Diaflow is a platform that allows you to scale AI across your entire organization. It enables everyone to deploy AI workflows which drive innovation. Create powerful apps and workflows using any data source to automate manual processes or create fully automated ones. Automate manual business processes in a way that your team will enjoy. Diaflow's intuitive components and interfaces allow you to create powerful AI-driven apps for your business that you can be proud of. Diaflow AI-powered editor offers a new way to create and edit documents. Your expertise can be leveraged to provide 24/7 support. With a built-in AI spreadsheet solution, you can easily manage and transform your data. Diaflow makes it easy to create amazing products for your business. Diaflow allows you to create apps and workflows without coding in just minutes.

Agents that combine Gemini's advanced reasoning with Google-quality search and enterprise data, no matter where it is hosted, unlock enterprise expertise for your employees. Get your agents access to all your connected data, apps, and the latest knowledge from the Internet. Google Agentspace provides pre-built connectors to the most popular enterprise applications* so that you can save time by completing quick actions or answers right from the Agentspace experience. Google Agentspace provides employees with a multimodal search agent branded with their company that acts as the central source of truth for your organization. Agentspace, which builds on the best features of Google's search, can provide conversational support, answer complex queries, make proactive suggestions, and take action based on unique information about your company. Google Agentspace is able to do this for both unstructured and structured data, such as emails and documents.

Agency helps enterprises evaluate, monitor, and build AI agents. AgentOps.ai is a team of experts. Agen.cy develops cutting-edge AI agents using CrewAI (Agency AI), AutoGen, CamelAI LLamaIndex Langchain Cohere MultiOn + more.

Manage the entire lifecycle of LLM applications development, testing, deployment and operation without having to piece together multiple systems. Achieving the lowest Total Cost of Ownership (TCO). Featuring a vector database and search engines that outperform all other leading vendors, with 10X less query latency, a 5X higher query rate, and a 3X lower cost. A data and knowledge base that manages large, multi-modal unstructured and structed data efficiently. Never worry about outdated data. Plug and play the latest, advanced, modular, agentic, RAG and GraphRAG without writing plumbing code. You can confidently configure your AI applications using CI/CD evaluations without worrying about regressions. Accelerate iterations to move from development to production in days instead of months. Access control based on roles and privileges.

Semantic Kernel, a lightweight open-source development tool, allows you to easily build AI agents, and integrate the latest AI model into your C# or Python codebase. It is a middleware that allows rapid delivery of enterprise grade solutions. Semantic Kernel is flexible, modular and observable, which is why Microsoft and other Fortune 500 firms use it. With security-enhancing features like hooks, filters, and telemetry, you can be confident that you are delivering responsible AI at scale. It's reliable and committed to non-breaking changes. Version 1.0+ is supported across C# Python and Java. Existing chat-based APIs can be easily extended to support other modalities such as voice and video. Semantic Kernel is future-proof and connects your code with the latest AI models that evolve as technology advances.

CrewAI is an industry-leading multi-agent platform. It allows organizations to streamline workflows in various industries using any Large Language Model and cloud platform. It offers a comprehensive set of tools, such as a framework and UI Studio to facilitate rapid development of multiagent automations. The platform offers flexible deployment options. Users can confidently move their 'crews,' or teams of AI agents, to production using powerful tools and autogenerated user interfaces. CrewAI provides users with robust monitoring capabilities that allow them to track their AI agents' performance and progress on both simple and complicated tasks. It also offers testing and learning tools to continuously improve the efficiency and quality produced by these AI agents.

Create your own AI agent in minutes by combining models from Gemini ChatGPT and Claude. You can now have the power of AI chat at your fingertips. Our AI Assistant provides a chat experience for you and your clients that feels like chatting to a friend. Upload documents (PDF, DocX ,..)) and connect seamlessly with Notion and Drive to expand the capabilities of your AI agent. Customizable with a brand, colors, domain and more. Integrates seamlessly with social networks like WhatsApp, Messenger, Telegram, etc. Your API keys are securely stored on your device without the need to install any software. The prompt library has been fine-tuned for seamless interaction with AI chatbots, and is easily accessible through intuitive shortcuts. Our mission is to simplify your productivity so you can focus on what matters most, your customers and daily life.

IBM watsonx Orchestrate, a generative AI-based automation solution, empowers businesses by automating tasks and simplifying complex processes. It features a catalog of prebuilt skills and applications, as well as a conversational interface that allows the creation of AI assistants to automate repetitive tasks. The platform includes a low-code builder for creating and deploying large-scale language models-powered assistants. A natural language interface is used to facilitate development. The Skills Studio allows teams build automation using data and decisions, workflows and workflows. This integrates existing technology investments with AI Assistants. Thousands of prebuilt abilities facilitate quick integration with existing applications and systems. Orchestrate's LLM routing and orchestration features provide a user friendly experience, enabling AI agents to quickly accomplish tasks.

Easy to train intelligent AI agents using your data. Let them recognize the user's intent and react, launch internal tools or scripted dialogs using forms. LLMs can automate repetitive tasks such as filling in forms, completing data, etc. AI can process documents, create new ones, gather important information, evaluate, or perform analyses using dozens of templates and examples. Data can be pulled in through our 15 integrations. It can then be processed with the best models or designed into scripted conversations. Create scripted dialogues that are always the same. Connect your models in a simple and intuitive way. Create LLM chatbots without code, AI agents, workflows or automation. Integrate GPT-4 with ease, as well as a variety of robust open-source and 3rd party models.

HumanLayer is a SDK and API that allows AI agents to communicate with humans for feedback, input and approvals. It ensures human oversight of high stakes function calls, with approval workflows on Slack, emails, and more. HumanLayer integrates with your Large Language Model (LLM), framework, and other tools to give AI agents safe access to the rest of the world. The platform supports a variety of frameworks and LLMs including LangChain (LangChain), CrewAI (ControlFlow), LlamaIndex (LlamaIndex), Haystack (OpenAI), Claude, Llama3.1(Llama3.1), Mistral, Gemini and Cohere. HumanLayer features include approval workflows, integration of humans as tools, and custom responses that escalate. Pre-fill responses for seamless human-agent interaction. Control which users are able to approve or respond to LLM request. Invert the control flow, from human-initiated requests to agent-initiated ones. Add human contact channels to the toolchain of your agent.

Create a multimodel AI agent using your own data. Leverage LLM chatGPT, GPT4, Gemini or Anthropic. Instantly deploy AI agents to any of your web builders, including WordPress, Webflow Shopify Squarespace and more. Present the next-generation artificially intelligent chatbot. Create and name your AI agent, define his bio, describe its duty, and provide the knowledge of your choice. No code is needed to build your ChatGPT. No code is needed to teach your AI agent natural language. Tune it in real-time to your needs. We support multi-channel Integration and deploy customized ChatGPT on Slack, WhatsApp and other channels. Customized AI agents for ChatGPT can empower your business. Users can chat, subscribe and like community agents created by users. You can also share your own. AgentX provides a multi-model mix-match building experience. You can choose LLM from different vendors.

Lyzr Agent Studio provides a low-code/no code platform that allows enterprises to build, deploy and scale AI agents without requiring a lot of technical expertise. This platform is built on Lyzr’s robust Agent Framework, the first and only agent Framework to have safe and reliable AI natively integrated in the core agent architecture. The platform allows non-technical and technical users to create AI powered solutions that drive automation and improve operational efficiency while enhancing customer experiences without the need for extensive programming expertise. Lyzr Agent Studio allows you to build complex, industry-specific apps for sectors such as BFSI or deploy AI agents for Sales and Marketing, HR or Finance.

Wordware allows anyone to create, iterate and deploy useful AI agents. Wordware combines software's best features with the power of language. Remove the constraints of traditional tools that don't require code and empower each team member to iterate on their own. Natural language programming will be around for a long time. Wordware removes prompt from codebases by providing non-technical and technical users with a powerful AI agent creation IDE. Our interface is simple and flexible. With an intuitive design, you can empower your team to collaborate easily, manage prompts and streamline workflows. Loops, branching and structured generation, as well as version control and type safety, help you make the most of LLMs. Custom code execution allows you connect to any API. Switch between large language models with just one click. Optimize your workflows with the best cost-to-latency-to-quality ratios for your application.

With our intuitive interface, you can create an AI-powered application in minutes. Connect GPT-3 with the internet using a Web Search Block, pull data in with an HTTP Request Block, or chain multiple Large Language Model blocks. Launch your app with a UI or bring the power to language into your community by deploying your app as a discord bot.

Lazy AI is an innovative platform that allows users to create applications without coding. It requires a low level of skill and offers a library of pre-configured workflows. It allows users to jumpstart the application development journey by adding functionality using natural language, instead of writing code. Lazy AI not only works with frontend apps, but also backend apps. It deploys them automatically. Lazy AI makes the creation of applications easier than ever. Our customizable app templates allow you to easily create AI tools, Bots and Dev Tools for Finance, Marketing, Finance, and Marketing. Users can also browse by technology, such as Laravel, Twilio (Twitter), YouTube Selenium Webflow Stripe etc.

Weave is an AI workflow builder without coding that allows users to automate tasks using multiple Large Language Models and connecting prompts, all without the need to code. Users can customize templates and turn workflows into automated solutions using an intuitive interface. Weave supports a variety of AI models including those from OpenAI Meta, Hugging Face and Mistral AI. This allows for seamless integration and fine tuning to achieve industry-specific outcomes. The key features are intuitive dataflow management and app-ready APIs to make integration easy, AI hosting, cost effective AI models, seamless personalization, user-friendly modules, and AI hosting. Weave is perfect for applications like generating character dialogue, creating intelligent chatbots and automating written material.

Smolagents, an AI agent framework, was developed to simplify the creation of intelligent agents using minimal code. It supports code-first agents, where agents execute Python code to perform tasks. This offers enhanced efficiency compared with traditional JSON-based methods. Smolagents integrates large language models such as those from Hugging face, OpenAI, etc., allowing developers to create agents capable of controlling workflows, calling functions, and interacting with external systems. The framework is user-friendly and requires only a few lines to define and run agents. It has secure execution environments such as sandboxed space for safe code running. Smolagents promotes collaboration through its integration with Hugging Face Hub. Users can share and import tools. It supports a wide range of use cases from simple tasks to multiagent workflows. This offers flexibility and performance improvements.

ServiceNow's AI Agents, embedded in the Now Platform are autonomous systems designed to perform repetitive tasks that humans traditionally handle. These agents interact in their environment to collect information, make decisions and execute tasks. They improve efficiency over time. They are able to continuously improve outcomes by leveraging domain-specific large languages models and a robust reason engine. AI Agents are natively integrated across workflows and systems of data, enabling end-to-end automated processes. They boost team productivity through orchestration of workflows, integrations and actions across the enterprise. The Now Platform allows organizations to deploy pre-built AI agents, or create custom agents tailored for specific needs. This integration allows employees focus on strategic initiatives by automating repetitive tasks.

SuperMarketer is a marketing platform that allows for personalized customer engagement on multiple channels including email, WhatsApp, mobile phones, Facebook and Google. AI-powered agents automate tasks like creating social media graphics and sending email campaigns. They also continuously personalize customer experiences. SuperMarketer allows for real-time generative journeys powered by large languages models. This goes beyond traditional templated automation workflows to optimize customer engagement workflows. It consolidates multiple channels into a single platform to allow seamless orchestration of targeted and personalized customer interactions based upon behavioral data, demographics and recent website actions. Orchestrate highly targeted and personalized customer interactions based upon behavioral data, demographics, & recent website actions.

Qubole is an open, secure, and simple Data Lake Platform that enables machine learning, streaming, or ad-hoc analysis. Our platform offers end-to-end services to reduce the time and effort needed to run Data pipelines and Streaming Analytics workloads on any cloud. Qubole is the only platform that offers more flexibility and openness for data workloads, while also lowering cloud data lake costs up to 50%. Qubole provides faster access to trusted, secure and reliable datasets of structured and unstructured data. This is useful for Machine Learning and Analytics. Users can efficiently perform ETL, analytics, or AI/ML workloads in an end-to-end fashion using best-of-breed engines, multiple formats and libraries, as well as languages that are adapted to data volume and variety, SLAs, and organizational policies.

Securely train using your company's private data and connect with multiple apps. Designed and specifically trained for workflow delegation in response natural language commands. Our custom agents integrate seamlessly into your workflows to automate tasks and process data for you. Azara is a powerful toolkit of AI-based tools that can streamline your white collar work. We have experts who can help you develop action plans and educate you on your problems. We also offer a variety of generators to help you create content, come up with new product ideas, write emails, etc. These credits can be used to perform actions such as training AI agents, connecting with third-party applications, running workflows, or chatting, based on the compute usage.

The Databricks Data Intelligence Platform enables your entire organization to utilize data and AI. It is built on a lakehouse that provides an open, unified platform for all data and governance. It's powered by a Data Intelligence Engine, which understands the uniqueness in your data. Data and AI companies will win in every industry. Databricks can help you achieve your data and AI goals faster and easier. Databricks combines the benefits of a lakehouse with generative AI to power a Data Intelligence Engine which understands the unique semantics in your data. The Databricks Platform can then optimize performance and manage infrastructure according to the unique needs of your business. The Data Intelligence Engine speaks your organization's native language, making it easy to search for and discover new data. It is just like asking a colleague a question.

Apache Hive™, a data warehouse software, facilitates the reading, writing and management of large datasets that are stored in distributed storage using SQL. Structure can be projected onto existing data. Hive provides a command line tool and a JDBC driver to allow users to connect to it. Apache Hive is an Apache Software Foundation open-source project. It was previously a subproject to Apache® Hadoop®, but it has now become a top-level project. We encourage you to read about the project and share your knowledge. To execute traditional SQL queries, you must use the MapReduce Java API. Hive provides the SQL abstraction needed to integrate SQL-like query (HiveQL), into the underlying Java. This is in addition to the Java API that implements queries.

Palo helps enterprises create the PB level MPP architecture data warehouse services in just a few minutes and import massive data from RDS BOS and BMR. Palo is able to perform multi-dimensional analysis of big data. Palo is compatible to mainstream BI tools. Data analysts can quickly gain insights by analyzing and displaying the data visually. It has an industry-leading MPP engine with column storage, intelligent indexes, and vector execution functions. It can also provide advanced analytics, window functions and in-library analytics. You can create a materialized table and change its structure without suspending service. It supports flexible data recovery.

LM-Kit.NET, a cutting edge high-level inference toolkit, is designed to bring the advanced capabilities Large Language Models into the C# ecosystem. LM-Kit.NET is a powerful Generative AI toolkit that's tailored for developers who work within.NET. It makes it easier than ever before to integrate AI functionality into your applications. The SDK offers a wide range of AI features to cater to different industries. Text completion, Natural Language Processing, content retrieval and summarization, text enrichment, language translation are just a few of the many features. Whether you want to automate content creation or build intelligent data retrieval system, LM Kit.NET provides the flexibility and performance to accelerate your project.

VeloDB, powered by Apache Doris is a modern database for real-time analytics at scale. In seconds, micro-batch data can be ingested using a push-based system. Storage engine with upserts, appends and pre-aggregations in real-time. Unmatched performance in real-time data service and interactive ad hoc queries. Not only structured data, but also semi-structured. Not only real-time analytics, but also batch processing. Not only run queries against internal data, but also work as an federated query engine to access external databases and data lakes. Distributed design to support linear scalability. Resource usage can be adjusted flexibly to meet workload requirements, whether on-premise or cloud deployment, separation or integration. Apache Doris is fully compatible and built on this open source software. Support MySQL functions, protocol, and SQL to allow easy integration with other tools.

Open Agent Studio is more than just another copilot. It's a co-pilot builder with no code that allows solutions that are not possible in any other RPA tool today. We believe that other tools will copy our idea, and so we are giving our customers a head start in the next few months. They can target markets previously untapped by AI using their deep industry insights. Subscribers can access a 4-week free course that teaches them how to evaluate product concepts and launch a customized agent with a white label enterprise-grade. You can easily build agents by recording your keyboard and mice actions, such as scraping data and detecting a start node. The agent recorder allows you to build generalized agents in as little time as possible. Record once and then share it across your organization for future-proof agents.

No more complicated templates and file restrictions. Integrate LLMs such as ChatGPT easily with vector databases, OCR PDF, and more. Chain prompts and transforms to create tailor-made AI experiences. From templates to adaptive chains. Our unique LLM features, such as quality control and semantic cache, can help you to save money and prevent hallucinations. We will take care of infrastructure management, hosting and scaling. Relevance AI will do the heavy lifting in just minutes. It can extract data from unstructured data in a flexible way. Relevance AI allows the team to extract data with over 90% accuracy within an hour.

Open-Source Programming Frameworks for Agentic AI. AutoGen provides a multi-agent dialogue framework as a high level abstraction. This framework allows you to easily build LLM workflows. AutoGen is a collection of systems that cover a wide range and complexity of applications. AutoGen supports enhanced LLM Inference APIs that can be used to improve performance and reduce costs.

Scout is an all-encompassing platform that allows users to efficiently build, launch and scale AI solutions. It has a workflow creator for creating AI automations based on models, web scraping and data storage, APIs, and custom logic. Users can automate content ingestion, such as from websites and documentation. They can also connect multiple large language model within a single workflow, to find optimal solutions. Copilots, which delivers AI-generated responses directly on websites, as well as Slack integration, for customer interaction, are some of the deployment options. APIs and SDKs can be used to build custom AI applications. Scout offers comprehensive testing and tuning tools, including evaluations and real-time monitoring. It also has built-in logging for workflow status, cost, and latency. The platform is trusted and used by teams who are building the future.

Create enterprise-grade apps in minutes with a platform that combines business process digitization and low/no code development AI. Build your autonomous enterprise. DeepOpinion isn't an orchestration platform. It is instead the intelligence layer used by global orchestration platforms to process unstructured data and improve straight-through processing for complex cognitive tasks. DeepOpinion transforms documents, emails and tickets into automated business actions. It allows companies to automate complex knowledge work, unstructured data and enterprise-grade AI agent applications. The validation hub helps validate exceptions and improve performance, while the coworker's hub is a constant companion. Our AI excels at automating text and documents processes, outperforming competitors in RFPs.

Create AI assistants that are tailored to your needs to accelerate your work. Personalized assistants that are connected to your data and proprietary knowledge can boost the performance of your team. Context-aware assistants can help you connect your team's data, and break down knowledge silos. Empower your team with assistants that are tailored to their specific needs based on concrete use cases. Model agnostic - switch seamlessly to the most advanced AI model without affecting your workflows. Control data access with granularity using a privacy-conscious and safe application. GenAI gives those with a developer mindset the tools they need to accelerate your company’s transition.

Truva is on a mission: to transform the quality of and speed with which sales teams can make decisions and execute. AI can boost your sales team. Truva takes care of the busywork, so your team can concentrate on what's important - closing deals. Truva tracks all of your sales activities, from online meetings to emails. It captures the details that are most important. It extracts key data points that are aligned with custom or traditional sales frameworks. This allows you to focus on the most important thing: building relationships. Truva automatically populates CRM with accurate and comprehensive data from each sales interaction. Eliminate manual entry of data and get a reliable, always-up-to-date single source of truth.

Impala offers low latency, high concurrency, and a wide range of storage options, including Iceberg and open data formats. Impala scales linearly in multitenant environments. Impala integrates native Hadoop security, Kerberos authentication, and the Ranger module to ensure that the correct users and applications have access to the right data. Utilize the same file and data formats and metadata, security, and resource management frameworks as your Hadoop deployment, with no redundant infrastructure or data conversion/duplication. Impala uses the same metadata driver and ODBC driver as Apache Hive. Impala, like Hive, supports SQL. You don't need to reinvent the wheel. Impala allows more users to interact with data, whether they are using SQL queries or BI apps, through a single repository. Metadata is also stored from the source of the data until it has been analyzed.