fzliu/radient
Radient turns many data types - not just text - into vectors for similarity search.
Language:Python
Total stars: 101
Stars trend:
#python
#audio, #embeddings, #frauddetection, #graphs, #images, #molecularsearch, #molecules, #recommendersystem, #retrievalaugmentedgeneration, #text, #unstructureddata, #vectors
Radient turns many data types - not just text - into vectors for similarity search.
Language:Python
Total stars: 101
Stars trend:
10 May 2024
6am ▍ +3
7am █ +8
8am ▋ +5
9am ▌ +4
10am ▎ +2
11am ▌ +4
12pm █▋ +13
1pm █▊ +14
2pm ▌ +4
3pm ▍ +3
4pm █▎ +10
5pm █▎ +10#python
#audio, #embeddings, #frauddetection, #graphs, #images, #molecularsearch, #molecules, #recommendersystem, #retrievalaugmentedgeneration, #text, #unstructureddata, #vectors
amphi-ai/amphi-etl
Low-code ETL for structured and unstructured data. Generates Python code you can deploy anywhere.
Language:TypeScript
Total stars: 131
Stars trend:
#typescript
#data, #datapipelines, #etl, #ragpipeline, #structureddata, #unstructureddata
Low-code ETL for structured and unstructured data. Generates Python code you can deploy anywhere.
Language:TypeScript
Total stars: 131
Stars trend:
18 Jun 2024
6pm ▏ +1
7pm +0
8pm +0
9pm +0
10pm +0
11pm +0
19 Jun 2024
12am ▏ +1
1am █▋ +13
2am ███ +24
3am █▊ +14
4am ██▏ +17
5am █▊ +14#typescript
#data, #datapipelines, #etl, #ragpipeline, #structureddata, #unstructureddata
neo4j-labs/llm-graph-builder
Neo4j graph construction from unstructured data using LLMs
Language:Jupyter Notebook
Total stars: 750
Stars trend:
#jupyternotebook
#dataimport, #genai, #graph, #graphrag, #graphsearch, #graphdb, #graphrag, #knowledgegraph, #langchain, #neo4j, #rag, #unstructureddata, #vectordb
Neo4j graph construction from unstructured data using LLMs
Language:Jupyter Notebook
Total stars: 750
Stars trend:
15 Jul 2024
5am ▏ +1
6am ▋ +5
7am ▍ +3
8am ▌ +4
9am ▎ +2
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1pm █▍ +11
2pm █▏ +9
3pm █▊ +14
4pm ▌ +4#jupyternotebook
#dataimport, #genai, #graph, #graphrag, #graphsearch, #graphdb, #graphrag, #knowledgegraph, #langchain, #neo4j, #rag, #unstructureddata, #vectordb
👍1
Zipstack/unstract
No-code LLM Platform to launch APIs and ETL Pipelines to structure unstructured documents
Language:Python
Total stars: 899
Stars trend:
#python
#etlpipeline, #llmplatform, #unstructureddata
No-code LLM Platform to launch APIs and ETL Pipelines to structure unstructured documents
Language:Python
Total stars: 899
Stars trend:
15 Aug 2024
11am █▌ +12
12pm ██ +16
1pm ██▋ +21
2pm █▍ +11
3pm █▋ +13
4pm █▉ +15
5pm █▌ +12
6pm █▌ +12
7pm █▎ +10
8pm █▎ +10
9pm █▎ +10
10pm █ +8#python
#etlpipeline, #llmplatform, #unstructureddata
yobix-ai/extractous
Fast and efficient unstructured data extraction. Written in Rust with bindings for many languages.
Language:Rust
Total stars: 777
Stars trend:
#rust
#datapipelines, #docx, #etl, #etlpipelines, #extraction, #llm, #machinelearning, #naturallanguageprocessing, #nlp, #ocr, #pdf, #pdfparser, #rag, #rust, #tika, #unstructured, #unstructureddata
Fast and efficient unstructured data extraction. Written in Rust with bindings for many languages.
Language:Rust
Total stars: 777
Stars trend:
29 Jan 2025
10pm █▏ +9
11pm ▌ +4
30 Jan 2025
12am █▎ +10
1am ▋ +5
2am █▏ +9
3am ▊ +6
4am ▉ +7
5am █ +8
6am ▉ +7
7am █ +8
8am ▋ +5
9am █ +8#rust
#datapipelines, #docx, #etl, #etlpipelines, #extraction, #llm, #machinelearning, #naturallanguageprocessing, #nlp, #ocr, #pdf, #pdfparser, #rag, #rust, #tika, #unstructured, #unstructureddata
Zipstack/unstract
No-code LLM Platform to launch APIs and ETL Pipelines to structure unstructured documents
Language:Python
Total stars: 3744
Stars trend:
#python
#etlpipeline, #llmplatform, #unstructureddata
No-code LLM Platform to launch APIs and ETL Pipelines to structure unstructured documents
Language:Python
Total stars: 3744
Stars trend:
14 Feb 2025
9am ▏ +1
10am ▎ +2
11am █▍ +11
12pm ▎ +2
1pm ▉ +7
2pm █▎ +10
3pm ▉ +7
4pm █▏ +9
5pm ▋ +5
6pm █▏ +9
7pm ▉ +7
8pm █ +8#python
#etlpipeline, #llmplatform, #unstructureddata
❤1
shcherbak-ai/contextgem
ContextGem: Effortless LLM extraction from documents
Language:Python
Total stars: 674
Stars trend:
#python
#ai, #contractanalysis, #dataextraction, #documentintelligence, #docx, #docx2md, #docx2txt, #generativeai, #legaltech, #llm, #llmextraction, #llmframework, #llmpipeline, #llms, #nlp, #promptengineering, #textanalysis, #unstructureddata
ContextGem: Effortless LLM extraction from documents
Language:Python
Total stars: 674
Stars trend:
11 May 2025
1pm █▏ +9
2pm █▍ +11
3pm █ +8
4pm ▊ +6
5pm █ +8
6pm ▍ +3
7pm ▍ +3
8pm ▍ +3
9pm ▍ +3
10pm ▌ +4
11pm █▎ +10
12 May 2025
12am ▉ +7#python
#ai, #contractanalysis, #dataextraction, #documentintelligence, #docx, #docx2md, #docx2txt, #generativeai, #legaltech, #llm, #llmextraction, #llmframework, #llmpipeline, #llms, #nlp, #promptengineering, #textanalysis, #unstructureddata