Zep Integrations

Definitive functions are the heart of extensible programming. Python supports keyword arguments, mandatory and optional arguments, as well as arbitrary argument lists. It doesn't matter if you are a beginner or an expert programmer, Python is easy to learn. Python is easy to learn, whether you are a beginner or an expert in other languages. These pages can be a helpful starting point to learn Python programming. The community hosts meetups and conferences to share code and much more. The documentation for Python will be helpful and the mailing lists will keep in touch. The Python Package Index (PyPI), hosts thousands of third-party Python modules. Both Python's standard library and the community-contributed modules allow for endless possibilities.

TypeScript adds syntax to JavaScript to allow for tighter integration with your editor. Make sure to catch errors in your editor as soon as possible. TypeScript code can be converted to JavaScript and runs wherever JavaScript runs: in a browser, on Node.js, Deno, or in your apps. TypeScript can understand JavaScript and uses type-inference to provide great tooling for JavaScript without any additional code. 78% of 2020 State of JS respondents used TypeScript, and 93% said they would use it again. Type errors are the most common errors programmers make. A certain type of value was used when a different value was expected. This could be simple typos, failure to understand an API surface, incorrect assumptions about runtime behavior or other errors.

Build complex automations up to 10x faster without battling APIs. The days of slogging through a mess of scripts is over. JavaScript is the best choice when you want flexibility, and UI for all other tasks. n8n lets you build flexible workflows that are focused on deep data integration. With a user-friendly interface and templates that can be shared, even the less technically minded members of your team can work together on them. Contrary to other tools, complexity does not limit you. You can build anything you want, without worrying about budget. Connect APIs without code to automate basic functions. You can also use vanilla Javascript to manipulate complex data. You can implement more than one trigger. You can branch and merge your workflows. You can even pause flows while you wait for external events. Custom HTTP requests allow you to easily interface with any API or service. Separate dev and production environments with different sets of authentication data to avoid breaking live workflows.

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.

LlamaIndex, a "dataframework", is designed to help you create LLM apps. Connect semi-structured API data like Slack or Salesforce. LlamaIndex provides a flexible and simple data framework to connect custom data sources with large language models. LlamaIndex is a powerful tool to enhance your LLM applications. Connect your existing data formats and sources (APIs, PDFs, documents, SQL etc.). Use with a large-scale language model application. Store and index data for different uses. Integrate downstream vector stores and database providers. LlamaIndex is a query interface which accepts any input prompts over your data, and returns a knowledge augmented response. Connect unstructured data sources, such as PDFs, raw text files and images. Integrate structured data sources such as Excel, SQL etc. It provides ways to structure data (indices, charts) so that it can be used with LLMs.

Our ML engine learns from all customer interactions. StepFunction provides actionable analytics and growth forecasts. Our end-to-end solution adapts to your current state. Growth AI begins with the ingesting of operational data from various systems, including CRM, billing, care/support and product usage. Data preparation is key to step function improvement in business forecasts. StepFunction works with your existing systems of record and doesn't interfere with customer success workflows. Deep dive into your revenue to account new, stable, downgrades and churn. Just a click away are historical trends and future predictions for each cohort. You can get insights in the form risk scores that will allow you to target customers with high scores and recommend actions for treatment. Find out how your customer risk is changing instantly and, most importantly, why it's changing.

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.