unstructured.io

What percentage of a company’s knowledge and data is actually being converted into actionable insights that are easily accessible to any stakeholder to do their jobs, better? I’m not going to waste your time defining the challenge / opportunity space as I “think” we all know the answer to that question…:) What’s that? You want to know how AI Agents + Compound AI Systems can solve this and raise the floor across your organization…funny you should ask that question… ;) Consider the universe of a company’s Structured and Unstructured data. Structured being the stuff that’s highly organized and easily searchable today such as data found in spreadsheets, databases etc. Unstructured being the data that lacks a predefined format or organization which makes it tougher to access today such as emails, Slack messages, call recordings / transcripts (i.e. Gong), social media posts etc. Imagine if every call with the market (i.e. Sales leaders talking to Enterprise prospects) was recorded and an AI Agent analyzed the conversation in relation to the evolving database of 1000’s of hours of prospect calls by the Sales team over the last 6+ months and then curated / tweaked 3-5 pieces of recommended follow-up content that had a projected 93% likelihood of moving the deal forward based on the AI Agent’s analysis? Imagine if every relevant, internal digital interaction / conversation on Slack, email, written analysis within Google Docs / Notion / Powerpoint, etc could be combined with the equivalent across external channels including your newsletter, social media posts etc and could be understood by 4 different types of AI Agents - Sales, Marketing, Customer Success + Product - where each AI Agent’s lens would be calibrated to process the data into insights that it could then share auto-magically via a Compound AI System that its human collaborator (i.e. Sales / Marketing / CS / Product Leader) could then integrate into their day-to-day workflow to benefit the company, a whole lot faster? Imagine the compression of time to value for GTM motions? More specifically, Sales Cycle Velocity acceleration? Lead Generation campaigns to set more / better 1st meetings that get to talking turkey faster? Imagine the impact on Product? More specifically, compressing time to find Product Market Fit and / or increasing the adoption of new product features? Imagine the impact on your Client Health Scores? More specifically, product usage, high quality feedback, overall client engagement… You get the idea. If any of the above is interesting, check out leaders in the AI Enterprise Search space (Glean, Hebbia etc) as well as AI App Development tools (unstructured.io, LangChain, LlamaIndex etc). It’s an exciting time.

🚀 New Blog Alert! Discover how Retrieval Augmented Generation (RAG) transforms NLP by combining retrieval-based methods with generative models. Our latest blog covers: 🔍 RAG Basics: Learn how RAG uses a vector database and LLM for context-aware answers. 📈 Key Processes: Understand data extraction, wrangling, chunking, embedding, retrieval, query encoding, and LLM generation. ⏱️ Real-Time vs. Batch: Explore the pros and cons of each and how micro-batching offers the best of both worlds. 💻 Building with Bytewax: See how Bytewax enables scalable RAG systems with real-time processing of financial news and public filings. 🌐 Advanced Architecture: Check out our streamlined setup using Bytewax dataflows and Haystack by deepset pipelines for real-time indexing and embedding. 📊 Future Work: Preview our upcoming Streamlit report generator, delivering LLM-generated reports with real-time data. Read the full blog here: https://lnkd.in/eb2gn4cD Laura Funderburk unstructured.io

Our CPO Ed talks to unstructured.io, Voyage AI, and Upstage about how combining technologies for AI app-building means an easier life for developers. Grateful for our partnerships 🙏 Watch the full video: https://ow.ly/2yIu50SzeIG #DataStax #GenAI #DeveloperCommunity

📢 ICYMI: DataStax and unstructured.io have partnered to make enterprise data RAG-ready for AI! This delivers: ⚡ Lightning-fast data ingestion and conversion of documents and data sets into vector data 🔎 Embeddings that can be quickly written to Astra DB for highly relevant GenAI similarity searches ⏩ Simple and elegant pipelines for updating your GenAI data in real time See this powerful partnership in action: https://dtsx.io/4bwxsFY #GenAI #VectorSearch #DataStax