Topics / #information-retrieval

Information-retrieval projects on GitHub

Searching and ranking relevant documents and answers

As of , the most-starred Information-retrieval projects on GitHub are PageIndex (39.2K stars), searxng (38.5K stars) and onyx (32.5K stars). GitHub.Locker tracks 15 Information-retrieval repositories with 266K stars combined. The fastest-growing on October 16 was PageIndex, with +75 stars in a day.

15Projects
266KStars in total
+183Stars in a day
Browse in the catalog →github.com/topics/information-retrieval ↗

Hot right now

Most stars gained in a day · Oct 16

+75

PageIndex

VectifyAI/PageIndex · ★ 39.2K

PageIndex is a vectorless, reasoning-based RAG (Retrieval-Augmented Generation) engine. Instead of a vector database and chunking, it builds a hierarchical tree index that mirrors a document's structure and lets an LLM reason its way through that tree to find relevant sections, the way a human expert flips to the right part of a report.

+40

searxng

searxng/searxng · ★ 38.5K

SearXNG is a free internet metasearch engine: it aggregates results from various search services and databases into one results page, and users are neither tracked nor profiled.

+28

onyx

onyx-dot-app/onyx · ★ 32.5K

Onyx is an open source AI platform that gives you a full-featured chat interface on top of any LLM, with built-in RAG, web search, agents, and more.

+12

haystack

deepset-ai/haystack · ★ 26.8K

An open-source AI orchestration framework for building production-ready LLM applications in Python: modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation.

The all-time top

15 projects · by stars

  1. #1 · VectifyAI/PageIndex

    PageIndex

    PageIndex is a vectorless, reasoning-based RAG (Retrieval-Augmented Generation) engine. Instead of a vector database and chunking, it builds a hierarchical tree index that mirrors a document's structure and lets an LLM reason its way through that tree to find relevant sections, the way a human expert flips to the right part of a report.

    39.2K
  2. #2 · searxng/searxng

    searxng

    SearXNG is a free internet metasearch engine: it aggregates results from various search services and databases into one results page, and users are neither tracked nor profiled.

    38.5K
  3. #3 · onyx-dot-app/onyx

    onyx

    Onyx is an open source AI platform that gives you a full-featured chat interface on top of any LLM, with built-in RAG, web search, agents, and more.

    32.5K
  1. 4

    EasyOCR

    30.1KJaidedAI/EasyOCR · Python

    A ready-to-use, open-source OCR library for Python: it detects and reads text in images across 80+ languages and popular writing scripts — Latin, Chinese, Arabic, Devanagari, Cyrillic and more.

  2. 5

    haystack

    26.8Kdeepset-ai/haystack · Python

    An open-source AI orchestration framework for building production-ready LLM applications in Python: modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation.

  3. 6

    DocsGPT

    18.3Karc53/DocsGPT · Python

    DocsGPT is a private, self-hosted AI platform for building agents, assistants, and enterprise search tools, with a built-in Agent Builder, document analysis, deep research mode, and support for multiple LLM providers.

  4. 7

    weaviate

    16.9Kweaviate/weaviate · Go

    Weaviate is an open-source, cloud-native vector database: it stores objects and vectors together and lets you combine vector search with structured filtering for semantic search at scale.

  5. 8

    gensim

    16.5Kpiskvorky/gensim · Python

    Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora, aimed at the natural language processing (NLP) and information retrieval (IR) community.

  6. 9

    unstructured

    15.6KUnstructured-IO/unstructured · HTML

    Unstructured is an open-source ETL toolkit that converts complex documents like PDFs, Word docs, HTML and images into clean, structured data (JSON) ready for LLMs, RAG pipelines and vector databases.

  7. 10

    txtai

    13Kneuml/txtai · Python

    txtai is an all-in-one AI framework for semantic search, LLM orchestration and language model workflows. Its core is an embeddings database that combines vector indexes, graph networks and relational databases to power search or serve as a knowledge source for LLM apps.

  8. 11

    FlagEmbedding

    12.3KFlagOpen/FlagEmbedding · Python

    FlagEmbedding (BGE) is a one-stop toolkit from BAAI for retrieval and retrieval-augmented LLMs, providing embedding models, rerankers, finetuning scripts, and evaluation tools for search and RAG.

  9. 12

    sutskever-30-implementations

    5.2Kpageman/sutskever-30-implementations · Jupyter Notebook

    It is a from-scratch NumPy implementation suite covering all 30 deep learning papers from Ilya Sutskever's famous reading list, the one he told John Carmack would teach '90% of what matters' in the field.

  10. 13

    SkillCorpus

    686EverMind-AI/SkillCorpus · Python

    SkillCorpus is EverMind's open-source pipeline that aggregates scattered SKILL.md files from public repos, applies safety/license/quality gates, and exports a curated, retrieval-ready corpus plus two fine-tuned retrieval models so agents can fetch the right skill at answer time.

  11. 14

    sgrep

    307context-dot-dev/sgrep · Python

    sgrep is a local search tool that finds code and document passages using plain-English intent, combining semantic embeddings with ripgrep-style lexical matching, without any account or hosted index.

  12. 15

    LLMSearchRecommender

    124alopatenko/LLMSearchRecommender

    A curated compendium of research papers, surveys, and industry engineering practices on using Generative AI and LLMs to build search engines, recommender systems, personalization engines, and question-answering systems.

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