AI · alternatives · 2026
24 alternatives to IdentityRAG – customer identity resolution for LLM applications
Connect to your customer data using any LLM and gain actionable insights. IdentityRAG creates a single comprehensive customer 360 view (golden record) by unifying, consolidating, disambiguating and deduplicating data across multiple sources through identity resolution. - tilotech/identity-rag-custom
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. IdentityRAG – customer identity resolution for LLM applications launched in 2024; newer entries below may have overtaken it.
- 1
Customer data search, unification and retrieval for LLMs
2024 · tilores.io · its alternatives →
- 2
Convert website visitor traffic to email + contact info
2023 · customers.ai · its alternatives →
- 3
- 4
Hey hacker news, We’re the cofounders at Psychic.dev (http://psychic.dev) where we help companies connect LLMs to private data. With the launch of Llama 2, we think it’s finally viable to self-host an internal application that’s on-par with ChatGPT, so we did exactly that and made it an open source project. We also included a vector DB and API server so you can upload files and connect Llama 2 to your own data. The RAG in RAGstack stands for Retrieval Augmented Generation, a technique where the capabilities of a large language model (LLM) are augmented by retrieving information…
2023 · github.com · its alternatives →
- 5
I keep running in the same problem of each AI app “remembers” me in its own silo. ChatGPT knows my project details, Cursor forgets them, Claude starts from zero… so I end up re-explaining myself dozens of times a day across these apps. The deeper problem 1. Not portable – context is vendor-locked; nothing travels across tools. 2. Not relational – most memory systems store only the latest fact (“sticky notes”) with no history or provenance. 3. Not yours – your AI memory is sensitive first-party data, yet you have no control over where it lives or how it’s queried. Demo video:…
2025 · github.com · its alternatives →
- 6
Signum.AI 4.0▲260Boost up-sell, cross-sell and prevent churn using AI
2023 · signum.ai · its alternatives →
- 7
Hermit▲147Leave ChatGPT while keeping everything it learned about you
Mar 2026 · hermit.tirith.life · its alternatives →
- 8
Dabarqus▲92Add PDF chat to your LLM app in less than 9 lines of code
2024 · dabarqus.com · its alternatives →
- 9OA
FullContact Identity Resolution allows businesses to recognize an individual person, in real-time, by connecting various identifiers from their digital interactions.
2014 · fullcontact.com · its alternatives →
- 10IB
We show the potential of modern, embedded graph databases in the browser by demonstrating a fully in-browser chatbot that can perform Graph RAG using Kuzu (the graph database we're building) and WebLLM, a popular in-browser inference engine for LLMs. The post retrieves from the graph via a Text-to-Cypher pipeline that translates a user question into a Cypher query, and the LLM uses the retrieved results to synthesize a response. As LLMs get better, and WebGPU and Wasm64 become more widely adopted, we expect to be able to do more and more in the browser in combination with LLMs, so a lot of…
2025 · blog.kuzudb.com · its alternatives →
- 11AB
Hey HN! We're building an open-source CMS designed to help creators with every part of the content production pipeline. We're showing our tiny first step: A tool designed to take in a Twitter username and produce an "identity card" based on it. We expect to use an approach similar to [Constitutional AI] with an explicit focus on repeatability, testability, and verification of an "identity card." We think this approach could be used to create finetuning examples for training changes, or serve as inference time insight for LLMs, or most likely a combination of the two. The tooling we're…
2025 · contentfoundry.com · its alternatives →
- 12
Twigg▲157Hi HN, we’re Jamie and Matti, co-founders of Twigg. During our master’s we continually found the same pain points cropping up when using LLMs. The linear nature of typical LLMs interfaces - like ChatGPT and Claude - made it really easy to get lost without any easy way to visualise or navigate your project. Worst of all, none of them are well suited for long term projects. We found ourselves spending days using the same chat, only for it to eventually break. Transferring context from one chat to another is also cumbersome. We decided to build something more intuitive to the ways humans think.…
2025 · twigg.ai · its alternatives →
- 13
Tilores is cloud-based entity resolution software used for fraud-detection, AML, RAG - but being cloud based makes it difficult for people to test as they are reluctant to upload sensitive data. To fix that we built a downloadable version of Tilores that runs entity resolution on your desktop. No data egress. Works best with the demo data as it is currently fixed schema and matching rules.
Jul 2026 · tilores.io · its alternatives →
- 14
Hi HN, I have been working with regulation-heavy documents lately, and one thing kept bothering me. Flat RAG pipelines often fail to retrieve related articles together, even when they are clearly connected through references, definitions, or clauses. After trying several RAG setups, I subjectively felt that GraphRAG was a better mental model for this kind of data. The Microsoft GraphRAG paper and reference implementation were helpful starting points. However, in practice, I found one recurring friction point: graph storage and vector indexing are usually handled by separate systems, which…
Jan 2026 · github.com · its alternatives →
- 15
LLM Pulse▲39Track and improve your visibility on AI Search
Dec 2025 · llmpulse.ai · its alternatives →
- 16
Alphie▲63Hi HN, Yura here, co-founder of Alphie. In my previous YC company, we got a lot of good traffic, but only about 3% of it ever converted to demos. We tried RB2B and many other visitor resolution tools - but weren't happy with the accuracy. So, after that company was acquired, we decided to build our own platform. We've found a way to achieve a much higher ID rate and accuracy than most of the previous-generation visitor ID tools. Company-level visitor identification is about 3 times more accurate than individual-level. We use a waterfall of several data providers to boost it a bit further.…
2025 · meetalphie.com · its alternatives →
- 17
Raymond here from Butter.dev, an LLM response cache built as a chat-completions proxy. Today we're launching a key feature for the platform: the ability to generalize on dynamic, templated inputs. Caching at the HTTP request level has the obvious problem of generalizability. Nearly no request is identical, due to templated variables (like names) and metadata (like timestamps), so exact-match cache lookups rarely hit. We solve this at Butter by using LLMs to detect dynamic content in requests and derive their inter-relationships, allowing the cache entry to be stored as a template + variables…
Jan 2026 · blog.butter.dev · its alternatives →
- 18
Own your RAG and LLM stack. GDPR compliance built-in.
Jul 2026 · eurorag.eu · its alternatives →
- 19CW
2024 · llmchat.co · its alternatives →
- 20
Hello HN! I wanted to share a side project of mine: a fully standalone app that uses a local LLM (specifically Mistral 7B) for document interaction using RAG. It supports a wide variety of document types and is designed to run right after installation. There are still quite a few bugs to iron out and many features I'm excited to add. Considering this is my first time working on such a project, I'm really happy with the progress and am learning a ton! The project is open source, so I please feel free to check out my work and leave any feedback :)
2024 · github.com · its alternatives →
- 21
This is like ChatGPT but simpler, with less features (for now). It offers unlimited access to o3, Claude Sonnet 4 and other models for the pro plan. It offers access to o4-mini and the like for the free version. Requests are unlimited up to rate limits that we hope apply to less than 2% of users (they're transparent and can be seen on the account page). I was sick of having these like t3.chat or abacus.ai that give you very few messages for the $8-$10 / month subscription, so wanted to create something closer to Cursor's new pricing but transparent. Image generation will come soon, I…
2025 · donsir.com · its alternatives →
- 22
Hi I am Jan, CTO @ Pathway. A use case we have been working on with LLMs is to let people know when an answer to their query changes due to revisions of source documents. Obviously, we want to avoid periodically re-computing all queries for the LLM. Why I think it’s cool? - We don’t spin in a loop to repeat with the LLM. - Alerts are LLM-deduplicated - no spamming users with typo fixes - And the best - our framework, Pathway takes care of handling the updates, the example looks nearly like a regular, static RAG chatbot. More context + GIF of how it works for Google Drive document alerts:…
2023 · github.com · its alternatives →
- 23
Hey HN! First post btw I want to share a product we are developing right now. It's a thing to gather your data from LinkedIn, GitHub, StackOverflow (and a couple more things in the future) and we obviously use LLMs under the hood :D So the idea of using it is that you don't need to share 69 links and docs and can use one link (or download PDF) now. When you connect all the stuff you will see your profile with a radar chart, which represents your "domains". The next thing will be a section with ai-generated-summary-bio + section with things you're open to. Then a section with work experience…
2024 · hackerpulse.io · its alternatives →
- 24IU
Hello! I used an LLM to extract structured data from each comment on the “Ask HN: Who is Hiring? (January 2024)” post, available at: https://news.ycombinator.com/item?id=38842977. This created a dataset of 400+ jobs with data such as title, company name, location, is job remote, salary data, and the URL/email to contact. For the UI, a NextJS static site was created to filter and view the structured data.
2024 · hnjobsai.vercel.app · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →