Alternatives
Products that do what DataBridge - An open-source, modular, multi-modal RAG solution does
For the past few weeks, I've been working on DataBridge, an open-source solution for easy data ingestion and querying. We support text, PDFs, images, and as of recently, we've added a video parser that can analyze and work well over frames and audio. We are also adding object tracking to improve video ingestion and context, and plan to do this for various data types. To get started, you can find the installation section in our docs at https://databridge.gitbook.io/databridge-docs/getting-starte.... There are a bunch of other useful functions and examples available there.…
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Hey HN! Over the past few weeks, I’ve been working on DataBridge, an open-source solution for data ingestion and querying across text, PDFs, images, and videos. In our latest update, we’ve added a fully local deployment option: - No internet required – Runs entirely offline. - Customizable Models – Supports any LLM and embedding model via Ollama (with options for any other private providers) - Extensibility – You can plug in your own models or tools easily. This local-first approach ensures better privacy, security, and flexibility, especially for teams dealing with sensitive data. You can…
2025 · github.com
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Hi HN, we're Arnav and Adi, and we're building DataBridge - a multi-modal database built from the ground up with AI use cases in mind. We recently launched support for ColPali-style image embeddings and late-interaction retrieval. We've implemented a hamming distance version of retrieval which helps this approach scale significantly more when compared with the regular late-interaction similarity scoring. These embeddings provide a significantly better retrieval accuracy, with ColQwen achieving around an 89% average score on the ViDoRe benchmark, compared to around 67% for traditional parsing…
2025 · github.com
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DataBridge is a multimodal database for building multi agent AI systems. It's open source and can run fully locally (with easy model swaps to run your favorite models). Github: https://github.com/databridge-org/databridge-core Docs: https://databridge.gitbook.io/databridge-docs
2025 · youtube.com
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Dear HN, I am Riwaj, the cofounder of dstack.ai (https://github.com/dstackai). A few months ago, we built an online service that allows users to publish data visualizations from Python or R. The idea was to build a tool that did not require additional programming or front-end development for publishing data visualizations. Such a code can be invoked from either Jupyter notebook, RMarkdown, Python, or R scripts. Once the data is pushed, it can be accessed via a browser. Open-sourcing dstack: During our customer discovery phase, we realized that dstack.ai should integrate a lot…
2020
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Hi HN! I am Maria, solo founder of DataQA (https://dataqa.ai/), a tool to search and label documents for various NLP tasks (e.g. entity extraction, entity linking, etc). I have worked as a data scientist and ML engineer for the better part of a decade, and over that time have specialised mainly in applications involving natural language processing (NLP). One of the key questions I have always had at the back of my mind is whether my time was well spent. Whenever I spent more time on feature engineering or trying different models, I always wondered whether I would get better…
2021
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Hi HN, I'm Daniel from Superlinked! We have built an open-source framework that improves vector search relevance and usefulness by combining structured metadata with unstructured data in your embeddings. We included self-hostable API server that sits between your data sources and vector database. Docs: https://docs.superlinked.com/ We're launching our cloud offering soon where you can use Superlinked to orchestrate high-performance retrieval for RAG, Search & Recommendation apps in your own cloud. Looking for feedback and happy to answer questions!
2024 · github.com
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Hi everyone, I'd like to share my project, bridge-ds - a lightweight Python framework that simplifies how ML practitioners manage and interact with datasets. Why bridge-ds? It abstracts the repetitive parts of dataset handling in real-world ML workflows, but remains lean enough as to not force opinionated workflow or unnecessary dependencies. bridge-ds uses two complementary approaches: - Macro-level: Treat your entire dataset like a DataFrame—filter, sort, and modify with familiar, intuitive operations. - Micro-level: Efficiently handle individual samples with lazy loading, caching, remote…
2024 · github.com
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Hi all, Sharing a repo I was working on for a while. It’s open-source and includes many different strategies for RAG (currently 17), including tutorials, and visualizations. This is great learning and reference material. Open issues, suggest more strategies, and use as needed. Enjoy!
2024 · github.com
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Hey HN, I’m building Databite, an open-source set of tools to help developers build integrations faster and with ease. If you’ve ever built a SaaS product or an AI agent that needed to update a CRM record, sync data between apps, or trigger a workflow in a third-party tool, you’ve probably spent way too much time writing glue code. Databite is here to be that glue. With Databite you can: - Access prebuilt connectors using the databite/connectors package. - Create custom connectors to services of your choice like Slack, Notion, HubSpot, Google Sheets, etc. using our databite/build…
Oct 2025 · github.com
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As a software engineer, it's frustrating to see those who can't code stuck with spreadsheets as their most powerful data tool. This is especially true when there is such a thin layer that exists to access arbitrarily powerful data and AI/ML tools (typically just Python and pandas/SQL). I built Regrail last year to demonstrate a visual, procedural tool that abstracts the primitives of data engineering. It uses a block-based editor that allows users to see the changes they are making to tables step by step. You can think of it like a visual DAG builder. I believe that data literacy…
2023 · regrail.io
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I built this because I was tired of guessing why my RAG system was failing. It projects user queries vs. documents into 2D space to find 'Red Zones' (high user intent, low documentation). Open source, built with FastAPI + React. Would love feedback on the clustering logic.
Dec 2025 · github.com
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Hey HN! We just released the open-source version of Renumics Spotlight, a data exploration and analysis tool for multimodal datasets. Spotlight integrates seamlessly with pandas and supports rich data types like images, videos, and meshes. You can load anything that fits in a DataFrame and view it through a customizable GUI featuring multiple interactive widgets: a data table, similarity map, histograms, scatter plots, and more. In the past, we have used Spotlight for exploratory data analysis and tackling various model and data-related problems in our machine learning projects. What are…
2023 · renumics.com
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Over this past month I had the idea to build a 100% open-source MIT-licensed tool to simplify sharing code with LLMs, without the vendor lock-in you get from most SDKs. Right now, it’s way too hard to export your data or work freely with models like o1 PRO or Grok 3, especially since they don’t even have API access. So I built OpenRepoPrompt, an open-source tool from wildberry-source that serializes files and folders into XML for LLMs. I coded/designed from 12PM -> 11PM on Saturday and 8AM -> 11PM on Sunday. There are still tons of features missing (I'm working on better file filtering…
2025 · github.com
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Hi HN, I built OpenFable, an open-source retrieval engine that implements the FABLE algorithm (https://arxiv.org/abs/2601.18116) for RAG pipelines. I'm using it in another project and thought that others might benefit. Most RAG systems chunk documents into flat segments and retrieve by vector similarity. This works for simple lookups but breaks when answers span multiple sections, when relevant content is buried in a subsection, or when you need to control how many tokens you're sending to an LLM. OpenFable takes a different approach: when you ingest a document, it uses…
Apr 2026 · github.com
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My team built this free open-source catalog that allows anyone to search through any data connector/source. There's a list of ETL providers for each so your analytics and BI projects can be as comprehensive as possible.
2022 · connectorcatalog.com
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Hey HN, A few friends and I have spent the past 6 years or so developing a way to write data transformation code in a way that can easily adapt to changes in logic or data elements both upstream and downstream without the need major refactoring, regression testing, or re-orchestration. We decided to open source the project about two months ago and published a CLI tool after we realized how big of a task it was to take on incumbents like stored procedures, dbt, and psyspark. It is early days for our community and we are looking to grow and engage with others to poke holes and contribute…
2024 · github.com
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