{"id":21094005,"url":"https://github.com/epsilla-cloud/docs","last_synced_at":"2026-01-02T21:03:06.181Z","repository":{"id":184373320,"uuid":"671779096","full_name":"epsilla-cloud/docs","owner":"epsilla-cloud","description":"Epsilla Documentations","archived":false,"fork":false,"pushed_at":"2025-03-05T14:09:57.000Z","size":74815,"stargazers_count":0,"open_issues_count":1,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-05T15:20:08.504Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/epsilla-cloud.png","metadata":{"files":{"readme":"README (1).md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-07-28T05:49:17.000Z","updated_at":"2025-03-05T14:10:01.000Z","dependencies_parsed_at":"2025-01-13T19:34:31.610Z","dependency_job_id":null,"html_url":"https://github.com/epsilla-cloud/docs","commit_stats":null,"previous_names":["epsilla-cloud/docs"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/epsilla-cloud%2Fdocs","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/epsilla-cloud%2Fdocs/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/epsilla-cloud%2Fdocs/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/epsilla-cloud%2Fdocs/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/epsilla-cloud","download_url":"https://codeload.github.com/epsilla-cloud/docs/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243538139,"owners_count":20307104,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-19T22:15:38.499Z","updated_at":"2026-01-02T21:03:01.251Z","avatar_url":"https://github.com/epsilla-cloud.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Overview\n\nEpsilla offers an open-source vector database. Our focus is on ensuring scalability, high performance, and cost-effectiveness of vector search. Epsilla bridges the gap between information retrieval and memory retention in Large Language Models. We see ourselves as the **Hippocampus for AI**.\n\n## Common use cases\n\nHere are some common use cases of Epsilla vector database\n\n### 1. Augmenting LLMs with Proprietary Data\n\n**Problem:** LLMs don’t have latest knowledge about the world (e.g., GPT-4 has a knowledge cutoff of April 2023), and don’t have knowledge about any private data (e.g., your company's knowledge base)\n\n**Our solution:** Augment LLMs by adding semantically similar information retrieved from vector database into the prompt (also known as [Retrieval Augmented Generation](https://ai.meta.com/blog/retrieval-augmented-generation-streamlining-the-creation-of-intelligent-natural-language-processing-models/)).\n\n**Benefits:** Enable the LLMs to work for your own data and knowledge. Compare to using fine-tuning, RAG has a much faster time-to-value, is much cheaper for both engineering cost and hardware cost, and support real time knowledge updates.\\\n\n\n\u003cfigure\u003e\u003cimg src=\".gitbook/assets/Screenshot 2023-09-18 at 7.07.38 PM (1).png\" alt=\"\" width=\"563\"\u003e\u003cfigcaption\u003e\u003c/figcaption\u003e\u003c/figure\u003e\n\n\u003cfigure\u003e\u003cimg src=\".gitbook/assets/Screenshot 2024-02-14 at 4.35.55 PM.png\" alt=\"\"\u003e\u003cfigcaption\u003e\u003cp\u003eExample: Upload IRS tax publications\u003c/p\u003e\u003c/figcaption\u003e\u003c/figure\u003e\n\n\u003cfigure\u003e\u003cimg src=\".gitbook/assets/Screenshot 2024-02-14 at 4.37.25 PM.png\" alt=\"\"\u003e\u003cfigcaption\u003e\u003cp\u003eExample: Build a tax assistant chatbot augmented by IRS publications\u003c/p\u003e\u003c/figcaption\u003e\u003c/figure\u003e\n\n### 2. Build Better Recommendation Systems\n\n**Problem:** It’s really hard to improve recommendation result relevance, and even harder to build a scalable realtime recommendation system.\n\n**Our Solution:** Use embedding as the bridge between incomparable data types to leverage the hidden relevance of user behavioral data during recommendation.\n\n**Benefits:** Vector DB that leverages the hidden relevance improves recommendation recall. Epsilla’s low query latency is vital to building a realtime recommendation system.\n\n\u003cfigure\u003e\u003cimg src=\".gitbook/assets/renchusong_draw_a_recommendation_system_with_input_product_imag_b9b02df5-bc55-4c5a-ac75-466bb16339be.png\" alt=\"\" width=\"563\"\u003e\u003cfigcaption\u003e\u003c/figcaption\u003e\u003c/figure\u003e\n\n### 3. Find Hidden Insights From Unstructured Data\n\n**Problem:** It’s really hard to analyze and query unstructured data (images, audios, videos) based on their content semantics.\n\n**Our Solution:** Connect and index the unstructured data based on the semantic relevance of their content, and enable multimodal search and analytics.\n\n**Benefits:** Multimodal search becomes as easy as text search. No need to manually label unstructured data and convert to structured data anymore.\n\n\u003cfigure\u003e\u003cimg src=\".gitbook/assets/Recomendation System.drawio (1).png\" alt=\"\" width=\"563\"\u003e\u003cfigcaption\u003e\u003c/figcaption\u003e\u003c/figure\u003e\n\n\u003cfigure\u003e\u003cimg src=\".gitbook/assets/Screenshot 2023-09-26 at 12.36.44 PM.png\" alt=\"\" width=\"563\"\u003e\u003cfigcaption\u003e\u003c/figcaption\u003e\u003c/figure\u003e\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fepsilla-cloud%2Fdocs","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fepsilla-cloud%2Fdocs","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fepsilla-cloud%2Fdocs/lists"}