Stock Research Agent with SEC API and Weaviate RAG

@kamran2012

Good to see this project, I will build the Stock Research Agent — integrating the SEC EDGAR API for filings retrieval, Weaviate as the vector store for RAG, and an Appsmith front end for querying company data interactively. For the RAG pipeline, I will chunk SEC filings by section (10-K risk factors, MD&A) before embedding, so the agent retrieves contextually relevant passages rather than noisy full-document matches. Questions: 1) Which LLM provider do you prefer for the generation layer — OpenAI, Anthropic, or another? 2) How many companies should the agent support at launch? Looking forward to your response. Best regards, Kamran

@vishal1145

Your SEC data pipeline will fail at scale if you're pulling raw 10-K filings without chunking strategies - Weaviate's vector store will choke on documents over 50MB, causing memory errors during embedding generation. Before architecting this, I need clarity on two things: What's your expected query volume per day (are we talking 100 searches or 10K analyst requests)? And are you planning to process historical filings retroactively, or just real-time data going forward? This determines whether we need batch processing with Celery or can handle it with synchronous API calls. Here's the architectural approach: - PYTHON + SEC API: Build a rate-limited scraper that respects SEC's 10 requests/second limit, implements exponential backoff, and parses XBRL financial statements into structured JSON for accurate data extraction. - WEAVIATE RAG: Design a chunking strategy that splits 10-K sections (Risk Factors, MD&A, Financial Statements) into 512-token embeddings, then implement hybrid search combining vector similarity with keyword filters for precise retrieval. - DATA PROCESSING: Set up Apache Airflow pipelines to orchestrate daily SEC filing ingestion, handle duplicate detection via document hashing, and trigger re-indexing when companies file amendments. - API LAYER: Build FastAPI endpoints with Redis caching to serve research queries in under 2 seconds, including citation tracking so analysts know which filing section generated each insight. I've built 3 financial data systems that process regulatory filings at scale, including one that handles 50K SEC documents with sub-second query times. I don't take on projects where the data architecture isn't bulletproof - let's schedule a 20-minute call to walk through edge cases like handling restatements and ensuring your embeddings stay current when companies update guidance.

@LordAskar

I am a professional, experienced, and forward-thinking developer. I’ve solved similar challenges in many startups, so I’m confident I can help you too. Let’s connect and discuss the details. I’m sure we’ll find the right solution together.

@NEHABHAT92

With nearly a decade of experience in web and mobile development, I am confident that I have the skills and knowledge to excel as your Stock Research Agent. My ability to not only leverage data provided by SEC API but extend it using Weaviate RAG makes me uniquely qualified for this task. I have a genuine love for technology and take pride in staying up-to-date with the latest trends, tools, and techniques. As such, incorporating these two APIs is a challenge I am eager to take on. In addition to my technical capabilities, my commitment to delivering high-quality work and providing after-support is one of the reasons why I believe we would make a great team. I understand the needs of clients and work hard to meet their specifications within a reasonable budget. My extensive experience in E-commerce and CMS platforms can ensure your website will be user-friendly, responsive, and functional across all major browsers. Lastly, my value-add proposition extends beyond the project's completion. My SEO skills can ensure your website is visible to potential investors or users alike, catapulting your project towards success. Thus, if you choose me for this endeavor, rest assured that you'll receive professional expertise maintaining superior quality from start to finish. Let's transform your ideas into reality together!

@monicasynthesis

Hello, I’ve gone through your job description and understand that you’re looking to build a Stock Research Agent using SEC API and Weaviate with RAG capabilities. With experience in AI integrations, APIs, and data-driven applications, I’ve successfully completed similar projects with a strong focus on quality and timely delivery. I have successfully handled similar work before as well. What I can help you with: • Integration of SEC API to fetch and process financial filings data • Implementation of Weaviate-based RAG pipeline for semantic search and insights • Building an intelligent agent for querying, summarising, and analysing stock data Warm regards, Monica Bhatia

@souvikbasu

The Appsmith + Weaviate + SEC-EDGAR stack you're referencing is a pattern I've built variations of before — pull filings via the SEC API, chunk and embed them into Weaviate, then wire up a conversational RAG layer so users can ask plain-English questions about any company's financials. Here's my approach: • SEC API integration to fetch 10-K, 10-Q, and 8-K filings with proper rate-limiting and pagination • Weaviate vector store with chunked embeddings (I'd recommend text-embedding-3-small for cost efficiency) • RAG pipeline using LangChain with citation tracking back to specific filing sections • Clean Appsmith frontend with search, company selector, and chat interface I recently built a similar document-intelligence pipeline that processes 500+ PDFs and answers queries with source citations in under 2 seconds. Quick questions: Are you targeting specific filing types (10-K only, or the full spectrum)? And do you have a Weaviate Cloud instance already, or should I set that up too? Can start today and have a working prototype within 3 days.

@rishi9343

As an experienced full-stack developer with over 8 years in mobile app and backend service development, I believe I am the ideal candidate for your Stock Research Agent project. My proficiency in C Programming, Data Processing, JavaScript, PHP, and Python aligns seamlessly with your needs to integrate the SEC API and Weaviate RAG for stock research. My diverse skill set gives me a unique perspective when it comes to problem-solving and creating highly functional applications. I am well-versed in database management which will come in handy when processing large amounts of stock data using the SEC API. Additionally, my expertise in web development, specifically using React and Node.js will aid in creating a streamlined and user-friendly interface for your stock research agent. Hire me today so we can work hand-in-hand to develop a powerful stock research solution that precisely meets your requirements. Rest assured that with my combined experience and dedication, we can build a robust platform that will provide deep insights and valuable information for effective investment strategies. Let's get started

@himanshus642

As an experienced Full Stack Developer with over 5 years in the field, I'm poised to bring a unique and valuable skillset to your Stock Research Agent project. I've not only worked extensively with APIs, like the SEC API, but I've also got deep expertise in software architecture and web development. I can connect the dots between these various technologies and create an intelligent application that fits your needs perfectly. Apart from my technical skills, my broader proficiency in SaaS platforms, AI automation and workflows is very relevant here. Clearly, your project needs rigorous automation processes that seamlessly integrate data from financial APIs - this is precisely what my work background affords me. Above all, I'm result-oriented and prioritize clean architecture, security and performance in my work. I believe this aligns particularly well with what you're looking to achieve with your Stock Research Agent. So, if you're after a functional solution that ticks all the boxes - reliability, scalability, and security - then let's collaborate on your project!

@manoval09

# Stock Research Agent Proposal **Hello,** I'm Petrovich, and I specialize in AI agents and RAG systems—exactly what your project needs. I've built multiple production LLM-powered research tools using similar stacks. **What I'll deliver:** - **SEC API Integration**: Real-time financial data pipeline with proper error handling and caching - **Weaviate RAG Architecture**: Vector embeddings of SEC filings for intelligent retrieval, enabling your agent to cite sources accurately - **Agentic System**: LLM agent with tool-use capabilities to automatically research stocks, synthesize findings, and generate actionable insights - **Production-Ready Code**: FastAPI backend, proper logging, and documentation **Why I'm the right fit:** - 6+ years building AI agents (GPT, Claude) with complex integrations - Proven experience with vector databases and RAG pipelines in financial contexts - Strong track record delivering reliable APIs that scale **Timeline & Cost:** - **4 weeks** for full implementation (design → testing → deployment) - **$12,500** covers architecture design, development, testing, and documentation - Daily progress updates and agile approach **Next steps:** I'd love to review the complete requirements on your site to refine timelines and deliverables. Happy to hop on a quick call to discuss your vision. Looking forward to building something great together. **Best,** Petrovich

@artur1992123

Hi Manoj, The core challenge here's integrating SEC EDGAR API with Weaviate's vector database for semantic stock research - not just data fetching. building an intelligent RAG pipeline that understands financial context. I've built multiple AI agent systems with vector databases and API integrations in the last 2 years. The Appsmith event guide you linked provides a solid foundation. I'll improve it with proper error handling, rate limiting for SEC API, and improved embedding strategies for financial documents. I'm offering a competitive rate to build my Freelancer portfolio with quality work. Can deliver a working prototype in 3-4 days with clean code and documentation. Check my profile for AI/data processing projects: https://www.freelancer.com/u/artickc Ready to start immediately.

@Sadiyasyeda24

Hello, I understand the task and will ensure your expectations are me. I am an expert with 4 years of experience in PHP, JavaScript, Python, Software Architecture, Web Development. See my profile for recent work. Please connect in chat so we can discuss. Thanks, Syeda Tahreem